[{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-qqagikdx/","section":"Publications","summary":"","title":"(Meta)Data and workflow management for your most important work and your daily routine"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1016-j-neuron-2011-08-026/","section":"Publications","summary":"","title":"A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-12688-f1000research-6229-1/","section":"Publications","summary":"","title":"A communication hub for a decentralized collaboration on studying real-life cognition"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41597-023-02614-0/","section":"Publications","summary":"","title":"A comparison of neuroelectrophysiology databases"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1093-cercor-bhaa115/","section":"Publications","summary":"","title":"A Gaussian Process Model of Human Electrocorticographic Data"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1371-journal-pbio-3002133/","section":"Publications","summary":"","title":"A guide to the BRAIN Initiative Cell Census Network data ecosystem"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1093-cercor-bhw068/","section":"Publications","summary":"","title":"A Model of Representational Spaces in Human Cortex"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-2020-10-19-343129/","section":"Publications","summary":"","title":"A multimodal cell census and atlas of the mammalian primary motor cortex"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-2024-06-21-599974/","section":"Publications","summary":"","title":"A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/f1000-phantom-2020/","section":"Publications","summary":"","title":"A new virtue of phantom MRI data: explaining variance in human participant data"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1162-imag-a-00074/","section":"Publications","summary":"","title":"A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-12688-f1000research-10783-2/","section":"Publications","summary":"","title":"A very simple, re-executable neuroimaging publication"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-2021-02-25-21252472/","section":"Publications","summary":"","title":"Aberrant levels of cortical myelin distinguish individuals with unipolar depression from healthy controls"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/access-page/","section":"Instruments","summary":"","title":"access-page"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/adina-wagner/","section":"People","summary":"","title":"Adina Wagner"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-ercq9db2/","section":"Publications","summary":"","title":"Advanced Image Processing in Magnetic Resonance Imaging: fMRI, MRI, EEG, MEG"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-2417-1200909-1683/","section":"Publications","summary":"","title":"Advancing Neuroimaging Research with Predictive Multivariate Pattern Analysis"},{"content":"Official AFNI source and documentation. AFNI is a suite of programs for analysing, visualising and interacting with functional and anatomical MRI data.\nPeople #Currently associated # John Lee (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/afni/","section":"Projects","summary":"","title":"AFNI"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41562-023-01647-0/","section":"Publications","summary":"","title":"Align with the NMIND consortium for better neuroimaging"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-694364/","section":"Publications","summary":"","title":"Analysis of task-based functional MRI data preprocessed with fMRIPrep"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/andy-connolly/","section":"People","summary":"","title":"Andy Connolly"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-y8uq85mh/","section":"Publications","summary":"","title":"Application of the Neuroimaging Data Model to Represent and Exchange Primary and Derived Data"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1117-12-360283/","section":"Publications","summary":"","title":"Approach to parallel-hierarchical network learning for real-time image sequence recognition"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/apptainer/","section":"Instruments","summary":"","title":"Apptainer"},{"content":"Application containers for Linux. The Linux Foundation continuation of Singularity after the 2021 fork, widely deployed on HPC systems.\nPeople #Currently associated # Vanessa Sochat (Contributor) Outputs # Apptainer ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/apptainer/","section":"Projects","summary":"","title":"Apptainer"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-stis8ce3/","section":"Publications","summary":"","title":"Attention alters animal and action representation in highly-distributed functionally-defined cortical parcels"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-wbwu53im/","section":"Publications","summary":"","title":"Attention locally modulates the discriminability of high-level, task-relevant representations"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-045252/","section":"Publications","summary":"","title":"Attention selectively reshapes the geometry of distributed semantic representation"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-d46pfxj5/","section":"Publications","summary":"","title":"Attention selectively reshapes the geometry of distributed semantic representation"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-tarqrcj3/","section":"Publications","summary":"","title":"Attentional allocation locally warps representational space"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/austin-macdonald/","section":"People","summary":"","title":"Austin Macdonald"},{"content":"A drag-and-drop web app for BBQS teams to put files into an existing dandiset on the EMBER Archive, so contributing data does not require learning the command line first.\nPart of # Ecosystem for Multi-modal Brain-behavior Experimentation and Research People #Currently associated # Cody Baker (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/bbqs-uploader/","section":"Projects","summary":"","title":"BBQS uploader"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-2024-11-26-624178/","section":"Publications","summary":"","title":"Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/ben-dichter/","section":"People","summary":"","title":"Ben Dichter"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/benjamin-poldrack/","section":"People","summary":"","title":"Benjamin Poldrack"},{"content":"Extends BIDS to record how a derivative was produced \u0026ndash; the provenance layer, carrying forward NIDM-PROV. Leads: Satrajit Ghosh, Camille Maumet, Yaroslav Halchenko.\nPart of # Brain Imaging Data Structure People #Currently associated # Yaroslav Halchenko (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/bep028/","section":"Projects","summary":"","title":"BEP028: BIDS Provenance"},{"content":"Extends BIDS to microelectrode electrophysiology. Leads: Sylvain Takerkart, Benjamin Dichter, Yaroslav Halchenko, Lyuba Zehl, Andrew Davison.\nPart of # Brain Imaging Data Structure People #Currently associated # Yaroslav Halchenko (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/bep032/","section":"Projects","summary":"","title":"BEP032: Microelectrode electrophysiology"},{"content":"Extends BIDS to describe the stimuli presented during an experiment. Leads: Seyed Yahya Shirazi, Dora Hermes, Yaroslav Halchenko, Kay Robbins, Scott Makeig.\nPart of # Brain Imaging Data Structure People #Currently associated # Yaroslav Halchenko (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/bep044/","section":"Projects","summary":"","title":"BEP044: Stimuli"},{"content":"The effort to work out what BIDS should change when backwards compatibility is no longer a constraint \u0026ndash; the breaking changes that a decade of 1.x could not make.\nPart of # Brain Imaging Data Structure People #Currently associated # Yaroslav Halchenko (Contributor) Outputs # bids-2-devel ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/bids-2-0/","section":"Projects","summary":"","title":"BIDS 2.0"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/bids-2-devel/","section":"Instruments","summary":"","title":"bids-2-devel"},{"content":"A software library for processing biomedical signals, with readers for a large number of EEG, ECG and other biosignal formats.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/biosig/","section":"Projects","summary":"","title":"biosig"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1007-s00429-007-0160-2/","section":"Publications","summary":"","title":"Bottom-up and top-down brain functional connectivity underlying comprehension of everyday visual action"},{"content":"A standard providing a simple and intuitive way to organize and describe neuroimaging and behavioral data. Governed by a community-elected steering group.\nPeople #Currently associated # Yaroslav Halchenko (Contributor) Chris Markiewicz (Maintainer) Previously associated # Yaroslav Halchenko (Steering committee member; 2023 \u0026ndash; 2025) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/bids/","section":"Projects","summary":"","title":"Brain Imaging Data Structure"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/neco-brain-reading-2008/","section":"Publications","summary":"","title":"Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No \"Face\" Identification Area"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1162-neco-2007-09-06-340/","section":"Publications","summary":"","title":"Brain reading using full brain support vector machines for object recognition: there is no “face” identification area"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1016-j-neuron-2021-04-001/","section":"Publications","summary":"","title":"Brainhack: Developing a culture of open, inclusive, community-driven neuroscience"},{"content":"A free cloud platform for secure neuroscience data management, analysis and publication, running reproducible apps on shared computing resources.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/brainlife-io/","section":"Projects","summary":"","title":"brainlife.io"},{"content":"A free, open-source simulator for spiking neural networks.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/brian/","section":"Projects","summary":"","title":"Brian"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1145-3701716-3715483/","section":"Publications","summary":"","title":"Bridging the Scientific Knowledge Gap and Reproducibility: A Survey of Provenance, Assertion and Evidence Ontologies"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/brock-wester/","section":"People","summary":"","title":"Brock-Wester"},{"content":"The emphasis is on creating software, workflows, and infrastructure that make data processing, analysis, and sharing reliable and repeatable. By providing versioned datasets, pipelines, and tooling (for example for neuroimaging and behavioral measurements), the aim is to reduce technical barriers, minimize errors, and help researchers reproduce results and reuse resources across projects.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/objectives/97ded4aa-108d-4b84-8195-d6076dce63ce/","section":"Objectives","summary":"","title":"Build tools for reproducible, shareable science"},{"content":"The Center for Open Neuroscience brings open practices into the everyday work of neuroscience. We build, connect, test, document, and share the tools and infrastructure that help researchers work transparently and reproducibly.\nObjectives # Promote open science through shared data and collaboration (Long-term goal) Connect tools, standards, and communities (Long-term goal) Preserve research artifacts (Long-term goal) Self-hosted research IT infrastructure (Long-term goal) Turn research ideas into working tools (Long-term goal) Understand brain function during everyday experiences (Long-term goal) Build tools for reproducible, shareable science (Long-term goal) Our principles #Open source #Open source supports collaboration at scale and makes scientific work easier to inspect, verify, and reproduce. CON also helps scientific developers make informed choices about licensing and sustainable development practices.\nRe-use and integration #Research communities already produce powerful software and valuable data. Before inventing another solution, we look for ways to improve, connect, and reuse what exists.\nDissemination #Scientific projects rarely have dedicated resources for promotion or reliable distribution. We help share software, data, and documentation while paying attention to intellectual property and due acknowledgment.\nQuality assurance #Research software deserves the same care as other scientific instruments. We work on unit, regression, integration, and validity testing so that reproducible workflows also produce trustworthy results.\nConvenience #Open resources can have broad impact only when people can obtain and use them. We work to make software and data accessible without hiding their provenance or the complexity needed to manage them responsibly.\nCommunity #Neuroscience spans many disciplines, yet projects can still develop in isolation. CON participates in cross-community initiatives and helps build bridges among research groups.\nExplore CON projects or meet the people behind them.\nBackground reading # Open and reproducible neuroimaging: from study inception to publication Four aspects to make science open “by design” and not as an after-thought Open is not enough. Let’s take the next step: an integrated, community-driven computing platform for neuroscience Engage #Contribute #CON is an open community. You are welcome to build, document, test, teach, or use any of our projects, whether or not you are looking for a formal position.\nStart with the DataLad project, browse the full catalogue, or contact the team to discuss where your experience could help.\nPromote #Scientific software projects rarely have dedicated resources for community outreach. The following CON materials are available for exhibits, bulletin boards, teaching, and conversations about open neuroscience. Follow each pamphlet image to its printable PDF where available.\nPamphlet collation # A single-page collection of QR codes for the pamphlets below.\nPython in electrophysiology # A double-sided introduction to Python-based projects for electrophysiology. The artwork sources are public.\nPython in neuroimaging # A double-sided introduction to Python-based projects for neuroimaging. The artwork sources are public.\nDebian and NeuroDebian # This pamphlet introduces Debian and the NeuroDebian project. Its artwork sources are public.\ngit-annex and DataLad # A double-sided introduction to DataLad and git-annex. The artwork sources are public.\nBIDS # This pamphlet introduces the Brain Imaging Data Structure, a standardized layout that helps researchers reuse methods and share neuroimaging data.\nSupport #CON has received institutional and grant support from the organizations below. These acknowledgments describe past support, not current award periods.\nCenter for Cognitive Neuroscience # National Science Foundation # National Institutes of Health # Support helps CON maintain open software, data services, documentation, and community infrastructure. Contact the team to discuss sponsorship or other forms of support.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/","section":"Center for Open Neuroscience","summary":"","title":"Center for Open Neuroscience"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/chris-cheng/","section":"People","summary":"","title":"Chris Cheng"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/chris-markiewicz/","section":"People","summary":"","title":"Chris Markiewicz"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-abze6dsn/","section":"Publications","summary":"","title":"Clustering cortical searchlights based on shared representational geometry"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/cody-baker/","section":"People","summary":"","title":"Cody Baker"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/compression-comparisons/","section":"Instruments","summary":"","title":"compression-comparisons"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/compression-comparisons-t261/","section":"Instruments","summary":"","title":"compression-comparisons-t261-study"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/annextube/","section":"Instruments","summary":"","title":"con/annextube"},{"content":"con/annextube is a YouTube-channel archiving system that uses git-annex for efficient, incremental storage of videos, metadata, comments, and captions. Archives are browsable offline through a client-side web interface generated by annextube itself. Actively maintained archives include:\nPart of # Center for Open Neuroscience Outputs # con/annextube ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/con-annextube/","section":"Projects","summary":"","title":"con/annextube"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/con-duct/","section":"Instruments","summary":"","title":"con/duct"},{"content":"Lightweight wrapper that collects execution data for an arbitrary command including execution time, system information, and resource usage statistics. Particularly suited for HPC environments.\nPart of # Center for Open Neuroscience People #Currently associated # Austin Macdonald (Lead) Yaroslav Halchenko (Principal investigator (PI)) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/con-duct/","section":"Projects","summary":"","title":"con/duct"},{"content":"con/fscacher is a Python library providing a persistent, file-content-aware memoization cache. Functions decorated with @cache.memoize_path are re-executed only when the fingerprint (timestamps + size) of their file arguments changes — making it easy to cache expensive operations on large file trees without stale results. It is used internally by the DANDI client and other CON tools.\nPart of # Center for Open Neuroscience ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/con-fscacher/","section":"Projects","summary":"","title":"con/fscacher"},{"content":"Reorganizes NWB files into a BIDS directory layout, so a dandiset can be read by the tooling that expects BIDS without being converted twice.\nPart of # Distributed Archives for Neurophysiology Data Integration People #Currently associated # Cody Baker (Lead) Isaac To (Contributor) Austin Macdonald (Contributor) Horea-Ioan Ioanas (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/nwb2bids/","section":"Projects","summary":"","title":"con/nwb2bids"},{"content":"con/solidation is a command-line tool that produces a Markdown activity report of recent issue and pull-request events across a configured set of GitHub repositories and organizations. It is used by CON to generate regular summaries of activity across the projects it maintains and contributes to, enabling lightweight project-health monitoring without leaving the terminal.\nPart of # Center for Open Neuroscience ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/con-solidation/","section":"Projects","summary":"","title":"con/solidation"},{"content":"Command for downloading build logs, artifacts, and release assets for a GitHub repository. Supports GitHub Actions, Travis-CI.com, and Appveyor with optional DataLad control for backup and distribution.\nPart of # Center for Open Neuroscience ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/con-tinuous/","section":"Projects","summary":"","title":"con/tinuous"},{"content":"con/tributors is a Python library and GitHub Action to automate maintenance of contributor attribution files. It updates all-contributors, Zenodo metadata (.zenodo.json), and CodeMeta (codemeta.json) files in one go, using a shared .tributors cache that maps GitHub logins to ORCID iDs and other persistent identifiers — so that contributor records stay consistent and up-to-date across all metadata files with a single command. For example, DataLad uses a dedicated GitHub Actions workflow powered by con/tributors to automatically keep its contributor files current.\nPart of # Center for Open Neuroscience People #Currently associated # John Wodder (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/con-tributors/","section":"Projects","summary":"","title":"con/tributors"},{"content":"Help existing research initiatives work together through compatible technologies, shared approaches, and coordination between communities.\nGroups often develop different tools and ways of organizing research data. We help them learn from one another and make their work easier to use together. That takes conversations and shared decisions as well as changes to software.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/objectives/cross-standards-harmonization/","section":"Objectives","summary":"","title":"Connect tools, standards, and communities"},{"content":"The Center for Open Neuroscience is based in Psychological and Brain Sciences at 3 Maynard Street, Hanover, New Hampshire 03755, USA.\nEmail # Write to team@centerforopenneuroscience.org about collaboration, contribution, or support.\nSource and community work # CON\u0026rsquo;s public software and issue trackers are at github.com/con.\nOrganization identifier # CON\u0026rsquo;s stable Research Organization Registry identifier is ROR 04tfhh831.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/contact/","section":"Center for Open Neuroscience","summary":"","title":"Contact"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/datasets/contube/","section":"Datasets","summary":"","title":"ConTube"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/contube-web/","section":"Instruments","summary":"","title":"ConTube web UI"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-qltpv7jm/","section":"Publications","summary":"","title":"Converging catalogues, warehouses, and deployment logistics into a federated 'data distribution'"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1109-prni-2016-7552355/","section":"Publications","summary":"","title":"Cross-modal searchlight classification: Methodological challenges and recommended solutions"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandi-archive/","section":"Instruments","summary":"","title":"DANDI Archive"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandi-ember/","section":"Instruments","summary":"","title":"DANDI at EMBER"},{"content":"Runs processing pipelines directly on DANDI assets, rather than asking everyone to download them first. Orchestration, a submission client and a public queue; the first campaign puts the AIND ephys pipeline over electrophysiology dandisets.\nPart of # Distributed Archives for Neurophysiology Data Integration People #Currently associated # Cody Baker (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/dandi-compute/","section":"Projects","summary":"","title":"DANDI Compute"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandi-api-webshots-tools/","section":"Instruments","summary":"","title":"dandi-api-webshots-tools"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandi-cli/","section":"Instruments","summary":"","title":"dandi-cli"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandi-hub/","section":"Instruments","summary":"","title":"dandi-hub"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandi-schema/","section":"Instruments","summary":"","title":"dandi-schema"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandiarchive-org/","section":"Instruments","summary":"","title":"dandiarchive.org"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandidav/","section":"Instruments","summary":"","title":"dandidav"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandisets/","section":"Instruments","summary":"","title":"dandisets"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandisets-healthstatus/","section":"Instruments","summary":"","title":"dandisets-healthstatus"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/dandisets-linkml-status-tools/","section":"Instruments","summary":"","title":"dandisets-linkml-status-tools"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-5281-zenodo-8253053/","section":"Publications","summary":"","title":"Dartmouth Brain Imaging Center (DBIC) QA data (weekly QA scans etc.)"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-3389-fninf-2012-00009/","section":"Publications","summary":"","title":"Data sharing in neuroimaging research"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/datalad/","section":"Instruments","summary":"","title":"DataLad"},{"content":"A data management platform that adapts open-source software distribution models to address data-sharing limitations. Provides a versatile data management platform using git-annex for large data tracking built on Git.\nPart of # Center for Open Neuroscience People #Currently associated # Matteo Visconti di Oleggio Castello (Contributor) Kyle Meyer (Contributor) Benjamin Poldrack (Contributor) Yaroslav Halchenko (Lead) Michael Hanke (Lead) Gergana Alteva (Contributor, Intern) Jason Gors (Contributor) Vanessa Sochat (Contributor) Andy Connolly (Contributor) Outputs # DataLad software datalad-container datalad-crawler datalad-deprecated datalad-fuse datalad-installer datalad-metalad datalad-neuroimaging datasets.datalad.org git-annex builds DataLad: distributed system for joint management of code, data, and their relationship ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/datalad/","section":"Projects","summary":"","title":"DataLad"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-7ahrxd2x/","section":"Publications","summary":"","title":"DataLad – decentralized data distribution for consumption and sharing of scientific datasets"},{"content":"A hands-on course in data management with DataLad, written to be worked through rather than looked up.\nPart of # DataLad People #Currently associated # Adina Wagner (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/datalad-handbook/","section":"Projects","summary":"","title":"DataLad Handbook"},{"content":"Service maintaining up-to-date information on an expanding collection of datasets, currently numbering over ten thousand. Provides automatic dataset registration, metadata extraction, and search functionality via web interface and RESTful API.\nPart of # Center for Open Neuroscience People #Currently associated # Isaac To (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/datalad-registry/","section":"Projects","summary":"","title":"DataLad Registry"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/datalad-container/","section":"Instruments","summary":"","title":"datalad-container"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/datalad-crawler/","section":"Instruments","summary":"","title":"datalad-crawler"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/datalad-deprecated/","section":"Instruments","summary":"","title":"datalad-deprecated"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/datalad-fuse/","section":"Instruments","summary":"","title":"datalad-fuse"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/datalad-installer/","section":"Instruments","summary":"","title":"datalad-installer"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/datalad-metalad/","section":"Instruments","summary":"","title":"datalad-metalad"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/datalad-neuroimaging/","section":"Instruments","summary":"","title":"datalad-neuroimaging"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/datalad-joss-2021/","section":"Publications","summary":"","title":"DataLad: distributed system for joint management of code, data, and their relationship"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/git-annex-builds/","section":"Instruments","summary":"","title":"datalad/git-annex"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/datasets/","section":"Datasets","summary":"","title":"Datasets"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/datasets.datalad.org/","section":"Instruments","summary":"","title":"datasets.datalad.org"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/david-kennedy/","section":"People","summary":"","title":"David Kennedy"},{"content":"The working handbook for the Dartmouth Brain Imaging Center \u0026ndash; how to get scanned, how data leaves the scanner, and the conventions everything downstream assumes.\nPart of # Center for Open Neuroscience People #Currently associated # Yaroslav Halchenko (Lead) Andy Connolly (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/dbic-handbook/","section":"Projects","summary":"","title":"DBIC Handbook"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/datasets/dbic-qa/","section":"Datasets","summary":"","title":"dbic/QA"},{"content":"The universal operating system: a volunteer project that packages and integrates free software, with a social contract and a technical policy older than most of what it ships. Not CON\u0026rsquo;s project \u0026ndash; the community CON\u0026rsquo;s practice was learned in, and still packages into.\nPeople #Currently associated # Yaroslav Halchenko (Debian maintainer) Michael Hanke (Debian maintainer) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/debian/","section":"Projects","summary":"","title":"Debian"},{"content":"Debian Pure Blend for medicine and life sciences, and the team that maintains those packages. Between 2020 and 2021 the neuroimaging packages NeuroDebian had carried moved here: a smaller team handing maintenance to a larger one, trading scope \u0026ndash; current Debian rather than backports \u0026ndash; for people and process.\nPart of # Debian People #Currently associated # Yaroslav Halchenko (Debian maintainer) Michael Hanke (Debian maintainer) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/debian-med/","section":"Projects","summary":"","title":"Debian Med"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-3zvyrxu7/","section":"Publications","summary":"","title":"Debian Med: Integrated software environment for all medical purposes based on Debian GNU/Linux"},{"content":"Debian\u0026rsquo;s packaging team for Python software \u0026ndash; a team rather than a Pure Blend, so it has no user-facing metapackages. 38 of the packages Yaroslav uploads are maintained here.\nPart of # Debian People #Currently associated # Yaroslav Halchenko (Debian maintainer) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/debian-python-team/","section":"Projects","summary":"","title":"Debian Python Team"},{"content":"Debian Pure Blend for scientific software and the team maintaining it. 28 of the packages Yaroslav uploads are maintained here.\nPart of # Debian People #Currently associated # Yaroslav Halchenko (Debian maintainer) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/debian-science/","section":"Projects","summary":"","title":"Debian Science"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1111-j-1467-9280-2009-02460-x/","section":"Publications","summary":"","title":"Decoding the Large-Scale Structure of Brain Function by Classifying Mental States Across Individuals"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-msjlptey/","section":"Publications","summary":"","title":"Decoding the neural representation of observed social and nonsocial human actions"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1016-j-mri-2007-03-013/","section":"Publications","summary":"","title":"Dense mode clustering in brain maps"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41597-025-05503-w/","section":"Publications","summary":"","title":"DICOM datasets for reproducible neuroimaging research across manufacturers and software versions"},{"content":"The DICOM working group responsible for MR. Where the conventions that make a scanner\u0026rsquo;s output machine-readable are argued out, which is upstream of every BIDS conversion CON does.\nPart of # Digital Imaging and Communications in Medicine People #Currently associated # Yaroslav Halchenko (Observer) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/dicom-wg16/","section":"Projects","summary":"","title":"DICOM Working Group 16: Magnetic Resonance"},{"content":"The DICOM working group on imaging compression. CON\u0026rsquo;s interest is empirical: what lossy compression actually costs downstream analyses, which is what the compression-comparisons studies measure.\nPart of # Digital Imaging and Communications in Medicine People #Currently associated # Yaroslav Halchenko (Observer) Outputs # compression-comparisons compression-comparisons-t261-study ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/dicom-wg32/","section":"Projects","summary":"","title":"DICOM Working Group 32: Digital Pathology and Imaging Compression"},{"content":"The standard for medical imaging data and its exchange, and the format every MRI scanner writes. Everything downstream \u0026ndash; BIDS layouts, HeuDiConv, ReproIn \u0026ndash; starts from what the scanner put in the DICOM header.\nPeople #Currently associated # Yaroslav Halchenko (Observer) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/dicom/","section":"Projects","summary":"","title":"Digital Imaging and Communications in Medicine"},{"content":"Diffusion imaging in Python: a 3D/4D+ medical imaging library with methods for diffusion MRI, tractography, registration and segmentation.\nPeople #Currently associated # Matthew Brett (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/dipy/","section":"Projects","summary":"","title":"Dipy"},{"content":"Community for enthusiasts of tools and workflows in the domain of distributed data.\nPart of # Center for Open Neuroscience ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/distribits/","section":"Projects","summary":"","title":"distribits"},{"content":"Platform for publishing, sharing, and processing neurophysiology data supported by the BRAIN Initiative. Provides data upload and distribution with supplementary client tools for data introspection and organization. Compliant with NWB standards.\nPart of # Center for Open Neuroscience People #Currently associated # Ben Dichter (Contributor) Satrajit Ghosh (Principal investigator (PI)) Yaroslav Halchenko (Principal investigator (PI)) Outputs # access-page dandi-api-webshots-tools DANDI Archive software dandi-cli dandi-hub dandi-schema dandidav dandisets dandisets-healthstatus dandisets-linkml-status-tools pydantic2linkml s3-log-extraction s3-log-parser ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/dandi/","section":"Projects","summary":"","title":"Distributed Archives for Neurophysiology Data Integration"},{"content":"Provides a solution for the problem of inadequate citation and referencing of scientific software and methods. A Python-focused framework embedding publication references in code with automatic citation collection and reporting.\nPart of # Center for Open Neuroscience People #Currently associated # Yaroslav Halchenko (Creator) Matteo Visconti di Oleggio Castello (Creator) Jason Gors (Contributor) John Wodder (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/duecredit/","section":"Projects","summary":"","title":"DueCredit"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-qhqktyyq/","section":"Publications","summary":"","title":"DueCredit - automagically collect citations for software, methods, and data you use"},{"content":"BRAIN Initiative archive for multi-modal neurophysiological and behavioral data, supporting the Brain Behavior Quantification and Synchronization Program. Being developed based on DANDI.\nPart of # Center for Open Neuroscience People #Currently associated # Yaroslav Halchenko (Research team member) Brock Wester (Principal investigator (PI)) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/ember/","section":"Projects","summary":"","title":"Ecosystem for Multi-modal Brain-behavior Experimentation and Research"},{"content":"A template for an EMBER study laid out as a BIDS study, so that data ingest starts from a structure the archive already understands rather than from a conversion afterwards.\nPart of # Ecosystem for Multi-modal Brain-behavior Experimentation and Research People #Currently associated # Yaroslav Halchenko (Lead) Cody Baker (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/ember-study-template/","section":"Projects","summary":"","title":"EMBER BIDS study template"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-kp46b5su/","section":"Publications","summary":"","title":"Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging"},{"content":"Explore the connections between people, projects and research outputs.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/explore/","section":"Center for Open Neuroscience","summary":"","title":"Explore"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/fail2ban/","section":"Instruments","summary":"","title":"Fail2Ban"},{"content":"Daemon that bans hosts causing repeated authentication failures, by watching logs and driving the firewall. Not a neuroscience project; it runs under the infrastructure CON and most of the field depend on.\nPeople #Previously associated # Yaroslav Halchenko (Debian maintainer; 2005-07-04 \u0026ndash; 2018-04-04) Yaroslav Halchenko (Lead, Contributor; 2005-12-27 \u0026ndash; 2023-11-22) Outputs # Fail2Ban software ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/fail2ban/","section":"Projects","summary":"","title":"Fail2Ban"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-yzynt7j3/","section":"Publications","summary":"","title":"Fantastic containers and how to tame them"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/sfn2015-shared-representations/","section":"Publications","summary":"","title":"Finding Cortical Patches of Shared Representations"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-iw32d26f/","section":"Publications","summary":"","title":"Finding cortical patches of shared representations: a comparison of clustering algorithms on representational geometries, and the effect of cross-validation to reduce physiological noise"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1186-s13742-015-0072-7/","section":"Publications","summary":"","title":"Four aspects to make science open \"by design\" and not as an after-thought"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-12688-f1000research-7628-1/","section":"Publications","summary":"","title":"Four aspects to make science open by design and not as an after-thought"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/franco-pestilli/","section":"People","summary":"","title":"Franco Pestilli"},{"content":"GNU FreeIPMI provides in-band and out-of-band IPMI software for system management, monitoring and sensor reading.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/freeipmi/","section":"Projects","summary":"","title":"FreeIPMI"},{"content":"Drivers and libraries for the Xbox Kinect device on Windows, Linux and OS X.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/freenect/","section":"Projects","summary":"","title":"Freenect"},{"content":"Neuroimaging analysis and visualization suite, best known for cortical surface reconstruction and segmentation.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/freesurfer/","section":"Projects","summary":"","title":"FreeSurfer"},{"content":"FMRIB Software Library: a comprehensive set of analysis tools for functional, structural and diffusion brain imaging data.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/fsl/","section":"Projects","summary":"","title":"FSL"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-pj5u5btz/","section":"Publications","summary":"","title":"Fusion of Functional Brain Imaging Modalities using L-Norms Signal Reconstruction"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-q6fwwrde/","section":"Publications","summary":"","title":"Fusion of functional brain imaging modalities via linear programming"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/gergana-alteva/","section":"People","summary":"","title":"Gergana Alteva"},{"content":"Allows managing large files with git, without storing the file contents in git. It can sync, back up and archive data, optionally encrypted, across many kinds of remote.\nPeople #Currently associated # Joey Hess (Lead, Creator) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/git-annex/","section":"Projects","summary":"","title":"git-annex"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-48550-arxiv-2504-07824/","section":"Publications","summary":"","title":"Go Figure: Transparency in neuroscience images preserves context and clarifies interpretation"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/datasets/haxby2001/","section":"Datasets","summary":"","title":"Haxby 2001 faces and objects"},{"content":"The Connectome Coordination Facility houses and distributes public research data from studies focused on mapping human brain connectivity.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/hcp/","section":"Projects","summary":"","title":"HCP"},{"content":"Flexible DICOM converter for organizing brain imaging data into structured directory layouts. Includes the ReproIn component for turnkey automatic conversion of MR data to BIDS DataLad datasets.\nPart of # Center for Open Neuroscience People #Currently associated # Matteo Visconti di Oleggio Castello (Contributor) James Haxby (Contributor) Yaroslav Halchenko (Lead) Satrajit Ghosh (Creator) Michael Hanke (Creator) Matthew Brett (Contributor) Kyle Meyer (Contributor) Benjamin Poldrack (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/heudiconv/","section":"Projects","summary":"","title":"HeuDiConv"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-21105-joss-05839/","section":"Publications","summary":"","title":"HeuDiConv — flexible DICOM conversion into structureddirectory layouts"},{"content":"Hierarchical Event Descriptors: a controlled vocabulary and annotation system for describing what happened during an experiment, at the resolution of individual events. The annotation layer BIDS event files carry and NEMAR searches by.\nPeople #Currently associated # Yaroslav Halchenko (Steering committee member) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/hed/","section":"Projects","summary":"","title":"Hierarchical Event Descriptors"},{"content":"Localizing a functional region usually means running a dedicated localizer. This asks whether the same regions can be found in data that was rich to begin with \u0026ndash; a feature film, watched once \u0026ndash; and reports that a GLM is the wrong tool for it. Dormant; worth returning to.\nPart of # Center for Open Neuroscience People #Currently associated # Samuel Nastase (Contributor) Matteo Visconti di Oleggio Castello (Contributor) James Haxby (Contributor) Adina Wagner (Contributor) Michael Hanke (Contributor) Yaroslav Halchenko (Contributor) Outputs # Finding Cortical Patches of Shared Representations Localizing functional regions of interest based on responses to dynamic naturalistic stimuli ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/region-localization/","section":"Projects","summary":"","title":"Highly specific region localization from naturally rich data"},{"content":"Backs up a record of GitHub activity and turns it into a work-history dashboard. CON uses it to see what its members have actually been doing, across the several organizations the work is spread over.\nPart of # Center for Open Neuroscience People #Currently associated # Cody Baker (Lead) Austin Macdonald (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/historia/","section":"Projects","summary":"","title":"Historia"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/horea-ioanas/","section":"People","summary":"","title":"Horea-Ioan Ioanas"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1523-jneurosci-3395-15-2016/","section":"Publications","summary":"","title":"How the human brain represents perceived dangerousness or \"predacity\" of animals"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-sarh7hnt/","section":"Publications","summary":"","title":"How to make brain imaging research efficient and reproducible: building software and standards"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-99yqf7jr/","section":"Publications","summary":"","title":"Image Segmentation on the basis of spatial connected features"},{"content":"A presentation tool that displays PDF and image slideshows with smooth transitions and presenter aids.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/impressive/","section":"Projects","summary":"","title":"Impressive"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-hywv9d2a/","section":"Publications","summary":"","title":"Improving efficiency in cognitive neuroscience research with NeuroDebian"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1515-nf-2020-0037/","section":"Publications","summary":"","title":"In defense of decentralized research data management"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-5t9a4qcy/","section":"Publications","summary":"","title":"Incorrect probabilities in Harvard-Oxford-sub Left hemisphere"},{"content":"Dartmouth/Bologna project building shared infrastructure for hyperalignment. CON\u0026rsquo;s part is advisory: data standards (BIDS) and the data-management and conversion infrastructure (DataLad, HeuDiConv).\nPeople #Currently associated # James Haxby (Principal investigator (PI)) Yaroslav Halchenko (Investigator) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/hyperalignment-infrastructure/","section":"Projects","summary":"","title":"Infrastructure for hyperaligning fMRI data and estimating functional topographies"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/","section":"Instruments","summary":"","title":"Instruments"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-yq6vtmde/","section":"Publications","summary":"","title":"Investigation of the familiar face recognition model"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1016-j-biopsych-2021-02-385/","section":"Publications","summary":"","title":"IQ in Typical Development: A Mega-Analysis of the Historical Literature"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/isaac-to/","section":"People","summary":"","title":"Isaac To"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/james-haxby/","section":"People","summary":"","title":"James Haxby"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/jason-gors/","section":"People","summary":"","title":"Jason Gors"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/jean-baptiste-poline/","section":"People","summary":"","title":"Jean-Baptiste Poline"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/jeremy-manning/","section":"People","summary":"","title":"Jeremy Manning"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/joey-hess/","section":"People","summary":"","title":"Joey Hess"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/john-lee/","section":"People","summary":"","title":"John Lee"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/john-wodder/","section":"People","summary":"","title":"John Wodder"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/kyle-meyer/","section":"People","summary":"","title":"Kyle Meyer"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/sfn2016-localizing-roi/","section":"Publications","summary":"","title":"Localizing functional regions of interest based on responses to dynamic naturalistic stimuli"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-ppl6eufk/","section":"Publications","summary":"","title":"Localizing functional regions of interest based on responses to dynamic naturalistic stimuli"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/luke-chang/","section":"People","summary":"","title":"Luke Chang"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/matteo-visconti-di-oleggio-castello/","section":"People","summary":"","title":"Matteo Visconti di Oleggio Castello"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/matthew-brett/","section":"People","summary":"","title":"Matthew Brett"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/matthijs-van-der-meer/","section":"People","summary":"","title":"Matthijs van der Meer"},{"content":"Modular toolkit for Data Processing: a Python library of data-processing algorithms that can be combined into pipelines.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/mdp/","section":"Projects","summary":"","title":"MDP"},{"content":"mechababs runs BIDS Apps over many studies on an HPC cluster, with BABS running the jobs. It works on a BIDS study, adding derivatives to it, and records how each one was made inside the study itself: the exact mechababs and BABS versions pinned in a lock, and every orchestration step as a DataLad run record. A superstudy groups many studies so one campaign sweeps them all, which is how mechababs feeds OpenNeuroStudies.\nPart of # Center for Open Neuroscience ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/mechababs/","section":"Projects","summary":"","title":"mechababs"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1117-12-388446/","section":"Publications","summary":"","title":"Method for image coordinate definition on extended laser paths"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/michael-hanke/","section":"People","summary":"","title":"Michael Hanke"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-3389-fnins-2022-871228/","section":"Publications","summary":"","title":"Microscopy-BIDS: An Extension to the Brain Imaging Data Structure for Microscopy Data"},{"content":"MEG and EEG analysis in Python: preprocessing, source estimation, time-frequency analysis and statistics.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/mne-python/","section":"Projects","summary":"","title":"mne-python"},{"content":"Scanner QA data is acquired to watch the scanner, and then it is filed away. This asks what else it is good for \u0026ndash; whether the variance in routine phantom scans explains variance in the human data acquired around them, which would make years of accumulated QA scans a covariate rather than a formality.\nPart of # Center for Open Neuroscience People #Currently associated # Yaroslav Halchenko (Lead) Chris Cheng (Contributor) Outputs # A new virtue of phantom MRI data: explaining variance in human participant data ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/mri-phantoms-afterlife/","section":"Projects","summary":"","title":"MRI Phantoms Afterlife"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41597-025-05543-2/","section":"Publications","summary":"","title":"MRS-BIDS, an extension to the Brain Imaging Data Structure for magnetic resonance spectroscopy"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-21105-joss-01525/","section":"Publications","summary":"","title":"multimatch-gaze: The MultiMatch algorithm for gaze path comparison in Python"},{"content":"MyKrok (Ukrainian: \u0026ldquo;мій крок\u0026rdquo; — \u0026ldquo;my step\u0026rdquo;) is a CLI tool to incrementally back up fitness activities from Strava, including GPS tracks, photos, comments, and kudos. Backups are browsable offline through a built-in web frontend with interactive maps and activity statistics — applying the same git-annex / open-data philosophy of CON\u0026rsquo;s archival tools to personal fitness data. Try the live demo with synthetic data.\nPart of # Center for Open Neuroscience ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/mykrok/","section":"Projects","summary":"","title":"MyKrok"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-2020-12-23-424091/","section":"Publications","summary":"","title":"Narratives: fMRI data for evaluating models of naturalistic language comprehension"},{"content":"A package for representing electrophysiology data in Python, with readers for a wide range of acquisition formats.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/neo/","section":"Projects","summary":"","title":"Neo"},{"content":"Federated search across neuroimaging studies: a schema, a CLI for annotating datasets, and a query tool over the resulting graph.\nPeople #Currently associated # Yaroslav Halchenko (Contributor) Jean-Baptiste Poline (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/neurobagel/","section":"Projects","summary":"","title":"Neurobagel"},{"content":"A data standard providing neuroscientists with a common standard to share, archive, use, and build analysis tools for neurophysiology data.\nPeople #Currently associated # Ben Dichter (Contributor) Yaroslav Halchenko (Steering committee member) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/nwb/","section":"Projects","summary":"","title":"Neurodata Without Borders: Neurophysiology"},{"content":"Turnkey research software platform for all aspects of the neuroscientific research process. Provides a comprehensive suite of readily usable and fully integrated software with robust testing and deployment infrastructure.\nPart of # Center for Open Neuroscience Debian People #Currently associated # Yaroslav Halchenko (Lead) Previously associated # Michael Hanke (Lead; 2009-03-28 \u0026ndash; 2015-06-10) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/neurodebian/","section":"Projects","summary":"","title":"NeuroDebian"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-sfqu8qby/","section":"Publications","summary":"","title":"NeuroDebian: from disjoint tools and data to robust turnkey platform for neuroimaging and beyond"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41592-023-02145-x/","section":"Publications","summary":"","title":"Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging"},{"content":"Generates custom Docker and Singularity images for neuroimaging software, and minimizes existing ones.\nPeople #Currently associated # Yaroslav Halchenko (Contributor) Austin Macdonald (Contributor) Horea-Ioan Ioanas (Contributor) Matteo Visconti di Oleggio Castello (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/neurodocker/","section":"Projects","summary":"","title":"Neurodocker"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/topics/neuroimaging/","section":"Topics","summary":"","title":"Neuroimaging"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-3389-fninf-2024-1376022/","section":"Publications","summary":"","title":"Neuroimaging article reexecution and reproduction assessment system"},{"content":"A family of specifications for describing neuroimaging experiments, their data and their provenance, built on W3C PROV. NIDM-PROV is its provenance layer, and the ancestor of the provenance work now carried into BIDS as BEP028.\nPeople #Currently associated # Yaroslav Halchenko (Contributor) Outputs # OpenNeuroDerivatives-NIDM ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/nidm/","section":"Projects","summary":"","title":"Neuroimaging Data Model"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-3389-fninf-2011-00008/","section":"Publications","summary":"","title":"Neuroscience Runs on GNU/Linux"},{"content":"Python package to access a cacophony of neuro-imaging file formats.\nPeople #Currently associated # Matthew Brett (Lead) Chris Cheng (Contributor) Nikolaas Oosterhof (Contributor) Soichi Hayashi (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/nibabel/","section":"Projects","summary":"","title":"Nibabel"},{"content":"The NIPY buildbot master \u0026ndash; the machine that builds and tests the Python neuroimaging stack across the platforms its users actually have.\nPeople #Currently associated # Matthew Brett (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/nibotmi/","section":"Projects","summary":"","title":"Nibotmi"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-v65l6j8x/","section":"Publications","summary":"","title":"NICEMAN: NeuroImaging Computational Environments Manager"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-4f4fcvy7/","section":"Publications","summary":"","title":"NIDM-Workflow - The Evolution of Provenance in Neuroimaging"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/nikolaas-oosterhof/","section":"People","summary":"","title":"Nikolaas Oosterhof"},{"content":"Lightweight framework for organising and processing neuroimaging and clinical data, built on BIDS.\nPeople #Currently associated # Yaroslav Halchenko (Contributor) Austin Macdonald (Contributor) Jean-Baptiste Poline (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/nipoppy/","section":"Projects","summary":"","title":"Nipoppy"},{"content":"Neuroimaging in Python: an fMRI analysis package.\nPeople #Currently associated # Matthew Brett (Lead) Matteo Visconti di Oleggio Castello (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/nipy/","section":"Projects","summary":"","title":"NiPy"},{"content":"Workflows and uniform interfaces across neuroimaging packages, so pipelines can mix tools from different suites.\nPeople #Currently associated # Satrajit Ghosh (Creator, Lead) Oliver Contier (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/nipype/","section":"Projects","summary":"","title":"Nipype"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-3389-fninf-2011-00013/","section":"Publications","summary":"","title":"Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python"},{"content":"Timeseries analysis for neuroscience data.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/nitime/","section":"Projects","summary":"","title":"Nitime"},{"content":"A Python compiler written in Python, fully compatible with the language and able to produce standalone executables.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/nuitka/","section":"Projects","summary":"","title":"Nuitka"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/objectives/","section":"Objectives","summary":"","title":"Objectives"},{"content":"A centralized registry of posters and their Jitsi rooms for OHBM 2020, the first edition held entirely online. The conference had no working way for an attendee to find a poster and walk up to its author; this gave it one, as a browsable catalogue backed by a DataLad dataset. Archived since 2022: it did its job for the meeting it was built for.\nPart of # Center for Open Neuroscience People #Currently associated # Yaroslav Halchenko (Creator, Lead) Soichi Hayashi (Lead) Chris Markiewicz (Contributor) Adina Wagner (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/ohbm2020-posters/","section":"Projects","summary":"","title":"OHBM 2020 posters"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/oliver-contier/","section":"People","summary":"","title":"Oliver Contier"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1007-s00418-023-02209-1/","section":"Publications","summary":"","title":"OME-Zarr: a cloud-optimized bioimaging file format with international community support"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-2023-02-17-528834/","section":"Publications","summary":"","title":"OME-Zarr: a cloud-optimized bioimaging file format with international community support"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-31219-osf-io-pu5vb/","section":"Publications","summary":"","title":"Open and reproducible neuroimaging: from study inception to publication"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1016-j-neuroimage-2022-119623/","section":"Publications","summary":"","title":"Open and reproducible neuroimaging: From study inception to publication"},{"content":"Aims to facilitate neuroimaging data sharing by providing an out-of-the-box solution including consent forms enabling anonymized data deposition and anonymization tools/pipelines. An international effort with GDPR compliance materials.\nPart of # Center for Open Neuroscience People #Currently associated # Yaroslav Halchenko (Lead) Matteo Visconti di Oleggio Castello (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/open-brain-consent/","section":"Projects","summary":"","title":"Open Brain Consent"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-3389-fninf-2012-00022/","section":"Publications","summary":"","title":"Open is not enough. Let's take the next step: An integrated, community-driven computing platform for neuroscience"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-64898-2026-04-30-721944/","section":"Publications","summary":"","title":"Open neuroinformatics infrastructure ecosystem for federated multisite studies"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1146-annurev-neuro-100119-110036/","section":"Publications","summary":"","title":"Open Neuroscience"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/osf/","section":"Instruments","summary":"","title":"Open Science Framework"},{"content":"An early public repository for raw fMRI datasets, and the predecessor of OpenNeuro.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/openfmri/","section":"Projects","summary":"","title":"OpenfMRI"},{"content":"One of the oldest and most well-known BRAIN Initiative archives for neuroimaging data. Uses git-annex as core technology, inspired by early DataLad crawling efforts. Successor to OpenfMRI.org.\nPart of # Center for Open Neuroscience People #Currently associated # Yaroslav Halchenko (Research team member) Russell Poldrack (Principal investigator (PI)) Chris Markiewicz (Technical director) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/openneuro/","section":"Projects","summary":"","title":"OpenNeuro"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/openneuro-derivatives-nidm/","section":"Instruments","summary":"","title":"OpenNeuroDerivatives-NIDM"},{"content":"A Python library to read and write Excel 2010 xlsx/xlsm files.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/openpyxl/","section":"Projects","summary":"","title":"openpyxl"},{"content":"Graphical experiment builder for the social sciences.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/opensesame/","section":"Projects","summary":"","title":"opensesame"},{"content":"Self-hostable research information infrastructure from the Psychoinformatics group: a LinkML schema toolkit, a generated edit UI and REST API over it, and whole project websites generated from the resulting knowledge pool.\nPeople #Currently associated # Michael Hanke (Creator) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/orinoco/","section":"Projects","summary":"","title":"Organized Research Information: Ontology-mapping, Curation, Orchestration"},{"content":"Content-neutral engine and deterministic runtime for metadata-driven sites. A site\u0026rsquo;s content lives as records in a store; the engine projects them into the pages that get served, so the records stay the single source of truth. This website is built that way. Derived from ORINOCO, the Psychoinformatics group\u0026rsquo;s research information infrastructure, and lighter by design.\nPart of # Center for Open Neuroscience People #Currently associated # John Lee (Lead) Yaroslav Halchenko (Principal investigator (PI)) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/orinoco-lite/","section":"Projects","summary":"","title":"ORINOCO Lite"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/source-adapters/dump-research-info/v1/","section":"Source-Adapters","summary":"","title":"Orinoco Lite dump-research-info source adapter v1"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/source-adapters/dump-research-info/v2/","section":"Source-Adapters","summary":"","title":"Orinoco Lite dump-research-info source adapter v2"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/source-adapters/zotero/v1/","section":"Source-Adapters","summary":"","title":"Orinoco Lite Zotero source adapter v1"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-5z7a6krc/","section":"Publications","summary":"","title":"Overview of statistical evaluation techniques adopted by publicly available MVPA toolboxes"},{"content":"Flexible and powerful data analysis and manipulation library for Python.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/pandas/","section":"Projects","summary":"","title":"Pandas"},{"content":"Describing statistical models in Python using symbolic formulas.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/patsy/","section":"Projects","summary":"","title":"patsy"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1016-j-neuroimage-2013-04-019/","section":"Publications","summary":"","title":"Pattern classification precedes region-average hemodynamic response in early visual cortex."},{"content":" Centroids Cody Baker (11) Yaroslav Halchenko (193) John Lee (5) Austin Macdonald (10) Vadim Melnik (2) Isaac To (7) Collaborators Ben Dichter (3) Satrajit Ghosh (38) Michael Hanke (57) Joey Hess (2) David Kennedy (12) Chris Markiewicz (21) Franco Pestilli (8) Jean-Baptiste Poline (26) Adina Wagner (11) Affiliated Faculty Luke Chang (1) James Haxby (35) Jeremy Manning (2) Matthijs van der Meer (1) Tor Wager (4) Emeritus Gergana Alteva (2) Matthew Brett (9) Chris Cheng (4) Andy Connolly (5) Oliver Contier (3) Jason Gors (14) Soichi Hayashi (4) Horea-Ioan Ioanas (11) Kyle Meyer (13) Samuel Nastase (21) Nikolaas Oosterhof (10) Benjamin Poldrack (8) Vanessa Sochat (11) Matteo Visconti di Oleggio Castello (28) John Wodder (11) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/","section":"People","summary":"","title":"People"},{"content":"Johns Hopkins/Dartmouth project on personalised HRF modelling. CON\u0026rsquo;s part is advisory, on standards and on the infrastructure for getting the data in and out reproducibly.\nPeople #Currently associated # Tor Wager (Principal investigator (PI)) Yaroslav Halchenko (Investigator) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/hrf-models/","section":"Projects","summary":"","title":"Personalized spatiotemporal hemodynamic response models for functional magnetic resonance imaging"},{"content":"The Debian packaging team for experimental psychology software \u0026ndash; FSL, PyEPL, PsychoPy and the rest of what a psychology lab actually runs. Archived with the rest of Alioth; the work and the people moved on into NeuroDebian.\nPart of # Debian People #Currently associated # Yaroslav Halchenko (Lead, Debian maintainer) Michael Hanke (Lead, Debian maintainer) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/pkg-exppsy/","section":"Projects","summary":"","title":"pkg-exppsy"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/pozu/","section":"Instruments","summary":"","title":"pozu"},{"content":"Pose labeling of EMBER video data in the browser, by whoever is willing to label it. Inspired by Galaxy Zoo: the bottleneck on pose estimation is annotated video, and a web page anyone can open is a cheaper way to get it than a pipeline only the lab can run.\nPart of # Ecosystem for Multi-modal Brain-behavior Experimentation and Research People #Currently associated # Cody Baker (Lead) Outputs # pozu pozu-backend pozu-branding pozu-transcode ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/pozu/","section":"Projects","summary":"","title":"Pozu"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/pozu-backend/","section":"Instruments","summary":"","title":"pozu-backend"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/pozu-branding/","section":"Instruments","summary":"","title":"pozu-branding"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/pozu-transcode/","section":"Instruments","summary":"","title":"pozu-transcode"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-e4ytlfl4/","section":"Publications","summary":"","title":"Predictive Decoding of Neural Data"},{"content":"Keep data, code, and other research materials accessible and recoverable over time, including materials hosted on other websites and services.\nResearch produces more than a published paper. Data, code, notes, and recordings help explain how the work was done. We help researchers keep these materials, find them again, and use them later—even when copies are hosted on other websites and services. This helps people return to their own work and gives others a clearer starting point.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/objectives/scalable-neural-archiving/","section":"Objectives","summary":"","title":"Preserve research artifacts"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1371-journal-pone-0066620/","section":"Publications","summary":"","title":"Prioritized Detection of Personally Familiar Faces"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1016-j-concog-2013-05-002/","section":"Publications","summary":"","title":"Processing of invisible social cues"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/","section":"Projects","summary":"","title":"Projects"},{"content":"Releases data, code, and documentation and fosters cross-site collaborations to accelerate scientific progress. By making resources public and encouraging standardized practices, they increase transparency, enable secondary analyses, and support large-scale studies that combine datasets to address questions requiring greater statistical power or diverse populations.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/objectives/87be5fa3-80fb-4221-8406-2ddd40fb1fd1/","section":"Objectives","summary":"","title":"Promote open science through shared data and collaboration"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1016-j-mex-2021-101595/","section":"Publications","summary":"","title":"Protocol for a machine learning algorithm predicting depressive disorders using the T1w/T2w ratio"},{"content":"Open-source package for running experiments in Python, created by Jon Peirce.\nPeople #Currently associated # Yaroslav Halchenko (Debian maintainer) Michael Hanke (Debian maintainer) Previously associated # Yaroslav Halchenko (Contributor; 2009-06-15 \u0026ndash; 2018-04-06) Yaroslav Halchenko (Debian maintainer; 2009-06-19 \u0026ndash; 2020-02-24) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/psychopy/","section":"Projects","summary":"","title":"PsychoPy"},{"content":"A free set of Matlab and GNU Octave functions for vision and neuroscience research, giving precise control over stimulus display and response collection.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/psychtoolbox/","section":"Projects","summary":"","title":"Psychtoolbox"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/","section":"Publications","summary":"","title":"Publications"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-21105-joss-01294/","section":"Publications","summary":"","title":"PyBIDS: Python tools for BIDS datasets"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-c62b4pex/","section":"Publications","summary":"","title":"Pybids: Python tools for manipulation and analysis of BIDS datasets"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/pydantic2linkml/","section":"Instruments","summary":"","title":"pydantic2linkml"},{"content":"Python-based framework for neural decoding using multivariate pattern analysis. Supports volume and surface-based analyses, supervised/unsupervised learning, representational similarity analyses, searchlight analyses, hyperalignment, and model-based decoding/encoding.\nPart of # Center for Open Neuroscience People #Currently associated # Yaroslav Halchenko (Lead) Nikolaas Oosterhof (Contributor) Andy Connolly (Contributor) Matteo Visconti di Oleggio Castello (Contributor) Previously associated # Michael Hanke (Lead; 2007-05-24 \u0026ndash; 2018-01-13) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/pymvpa/","section":"Projects","summary":"","title":"PyMVPA"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1007-s12021-008-9041-y/","section":"Publications","summary":"","title":"PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-3389-neuro-11-003-2009/","section":"Publications","summary":"","title":"PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data"},{"content":"Python APIs and tools for working with NIDM documents \u0026ndash; the implementation side of the Neuroimaging Data Model.\nPeople #Currently associated # Yaroslav Halchenko (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/pynidm/","section":"Projects","summary":"","title":"PyNIDM"},{"content":"Simulator-independent specification of neuronal network models in Python.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/pynn/","section":"Projects","summary":"","title":"PyNN"},{"content":"Python package that defines an interface for writing structured records as a table in a terminal.\nPart of # Center for Open Neuroscience People #Currently associated # Vanessa Sochat (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/pyout/","section":"Projects","summary":"","title":"pyout"},{"content":"Cortical neuroimaging visualization in Python.\nPeople #Currently associated # Matthew Brett (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/pysurfer/","section":"Projects","summary":"","title":"Pysurfer"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1523-jneurosci-5547-11-2012/","section":"Publications","summary":"","title":"Representation of biological classes in the human brain"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/reproevents/","section":"Instruments","summary":"","title":"ReproEvents"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/reproin/","section":"Instruments","summary":"","title":"ReproIn"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-m5e9bt5h/","section":"Publications","summary":"","title":"ReproIn: automatic generation of shareable, version-controlled BIDS datasets from MR scanners"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/reproman/","section":"Instruments","summary":"","title":"ReproMan"},{"content":"Aims to facilitate reproducible computation via collection of detailed information about origin of used components including Debian/Conda packages and VCS repositories. Part of the NIH-supported ReproNim effort.\nPart of # Center for Open Neuroscience People #Currently associated # Kyle Meyer (Contributor) Yaroslav Halchenko (Lead) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/reproman/","section":"Projects","summary":"","title":"ReproMan - Reproducible Computational Environments Manager"},{"content":"ReproNim: A Center for Reproducible Neuroimaging Computation. A P41 center building training, tools and standards so neuroimaging analyses can be reproduced.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/repronim/","section":"Projects","summary":"","title":"ReproNim"},{"content":"The technology research and development project within ReproNim that YOH leads at Dartmouth. In practice it is the tooling that makes a study reproducible end to end: capturing what the scanner and the stimulus computer actually did, converting it into standard layouts without a human in the loop, and re-running the analysis in a recorded environment.\nPart of # ReproNim People #Currently associated # Yaroslav Halchenko (Lead) Previously associated # Horea-Ioan Ioanas (Contributor; 2023-05-05 \u0026ndash; 2024-03-26) Outputs # con/duct ReproEvents ReproIn ReproMan ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/repronim-trd3/","section":"Projects","summary":"","title":"ReproNim TR\u0026D3"},{"content":"Training module presenting daily core tools (shell, version control, etc) and demonstrating research reproducibility improvement. Part of the ReproNim training curriculum.\nPart of # Center for Open Neuroscience People #Currently associated # Yaroslav Halchenko (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/repronim-reproducible-basics/","section":"Projects","summary":"","title":"ReproNim: Reproducible Basics"},{"content":"ReproNim/containers is a DataLad dataset providing a ready-to-use \u0026ldquo;distribution\u0026rdquo; of containerized neuroimaging environments (Singularity images) for reproducible analysis. It collects a curated set of containers — including those used by HeuDiConv and the broader ReproNim ecosystem — and exposes them via the ///repronim/containers DataLad dataset path, making it trivial to pin and share exact software environments alongside data and workflows.\nPart of # Center for Open Neuroscience ReproNim TR\u0026amp;D3 ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/repronim-containers/","section":"Projects","summary":"","title":"ReproNim/containers"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/reprostim/","section":"Instruments","summary":"","title":"ReproStim"},{"content":"Automated capture of the audio-visual stimuli actually presented during an experiment, into BIDS datasets \u0026ndash; so what the participant saw and heard is recorded rather than inferred from the script that was supposed to show it. ReproFlow is the setup around it, from the screen and the event relay through to the dataset.\nPart of # Center for Open Neuroscience People #Currently associated # Yaroslav Halchenko (Principal investigator (PI)) Vadim Melnik (Software developer) Horea-Ioan Ioanas (Contributor) Andy Connolly (Creator) Outputs # ReproStim ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/reprostim/","section":"Projects","summary":"","title":"ReproStim"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/datasets/reprotube/","section":"Datasets","summary":"","title":"ReproTube"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/reprotube-web/","section":"Instruments","summary":"","title":"ReproTube web UI"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-4j5d6v7h/","section":"Publications","summary":"","title":"Resources for practicing PR4NI – pragmatic cursory overview"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/russell-poldrack/","section":"People","summary":"","title":"Russell-Poldrack"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/s3-log-extraction/","section":"Instruments","summary":"","title":"s3-log-extraction"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/s3-log-parser/","section":"Instruments","summary":"","title":"s3-log-parser"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/samuel-nastase/","section":"People","summary":"","title":"Samuel Nastase"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/satrajit-ghosh/","section":"People","summary":"","title":"Satrajit Ghosh"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-ycvipyy4/","section":"Publications","summary":"","title":"Scanning parameters for optimal decoding using a 32-channel head coil for fMRI"},{"content":"Image processing in Python.\nPeople #Currently associated # Matthew Brett (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/scikit-image/","section":"Projects","summary":"","title":"scikit-image"},{"content":"Machine learning in Python: classification, regression, clustering and model selection on top of NumPy and SciPy.\nPeople #Previously associated # Yaroslav Halchenko (Contributor; 2010-03-24 \u0026ndash; 2025-07-31) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/scikit-learn/","section":"Projects","summary":"","title":"scikit-learn"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-48550-arxiv-2401-00077/","section":"Publications","summary":"","title":"SciOps: Achieving Productivity and Reliability in Data-Intensive Research"},{"content":"Statistical data visualization in Python, built on matplotlib.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/seaborn/","section":"Projects","summary":"","title":"seaborn"},{"content":"We help researchers run and maintain the services their work depends on. Hosting these services themselves gives groups more control over their data and how people access and use it.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/objectives/self-hosted-it/","section":"Objectives","summary":"","title":"Self-hosted research IT infrastructure"},{"content":"Container platform for reproducible scientific computing on shared and HPC systems, where unprivileged users need to run their own images. In 2021 the project forked: SingularityCE continues under Sylabs and Apptainer moved to the Linux Foundation. Both are live.\nPeople #Currently associated # Vanessa Sochat (Contributor) Outputs # SingularityCE ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/singularity/","section":"Projects","summary":"","title":"Singularity"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/singularity/","section":"Instruments","summary":"","title":"SingularityCE"},{"content":"To provide archival and uninterrupted access to over 9TBs of singularity-hub.org Singularity containers, CON established the ///shub DataLad dataset and a service to serve the shub:// URLs.\nPart of # Center for Open Neuroscience ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/singularityhub-afterlife/","section":"Projects","summary":"","title":"SingularityHub (after-life)"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1016-j-neuroimage-2009-08-065/","section":"Publications","summary":"","title":"Six problems for causal inference from fMRI"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/soichi-hayashi/","section":"People","summary":"","title":"Soichi Hayashi"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/source-adapters/","section":"Source-Adapters","summary":"","title":"Source-Adapters"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41597-025-05154-x/","section":"Publications","summary":"","title":"Spacetop: A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks"},{"content":"A multi-platform GUI application for navigating, analyzing and visualizing electrophysiological data.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/spykeviewer/","section":"Projects","summary":"","title":"Spykeviewer"},{"content":"STAMPED is a set of seven principles, Self-containment, Tracking, Actionability, Modularity, Portability, Ephemerality, and Distributability, for building research objects that others can trust, rerun, and build upon. Each principle is a spectrum from a practical minimum to an aspirational ideal, so adoption can be incremental and start from existing practice. STAMPED grew out of YODA and comes with an interactive checklist and worked examples.\nPart of # Center for Open Neuroscience ReproNim Distributed Archives for Neurophysiology Data Integration Ecosystem for Multi-modal Brain-behavior Experimentation and Research OpenNeuro Outputs # stamped-agent-skills stamped-branding stamped-checklist stamped-checklist-schema stamped-examples stamped-paper stamped-principles-schema stamped-skills-assessment ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/stamped-principles/","section":"Projects","summary":"","title":"STAMPED Principles"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/stamped-agent-skills/","section":"Instruments","summary":"","title":"stamped-agent-skills"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/stamped-branding/","section":"Instruments","summary":"","title":"stamped-branding"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/stamped-checklist/","section":"Instruments","summary":"","title":"stamped-checklist"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/stamped-checklist-schema/","section":"Instruments","summary":"","title":"stamped-checklist-schema"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/stamped-examples/","section":"Instruments","summary":"","title":"stamped-examples"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/stamped-paper/","section":"Instruments","summary":"","title":"stamped-paper"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/stamped-principles-schema/","section":"Instruments","summary":"","title":"stamped-principles-schema"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/instruments/stamped-skills-assessment/","section":"Instruments","summary":"","title":"stamped-skills-assessment"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-3389-neuro-01-007-2010/","section":"Publications","summary":"","title":"Statistical learning analysis in neuroscience: aiming for transparency"},{"content":"Statistical modeling and econometrics in Python.\nPeople #Currently associated # Matthew Brett (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/statsmodels/","section":"Projects","summary":"","title":"statsmodels"},{"content":"A program for viewing and analyzing electrophysiological data.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/stimfit/","section":"Projects","summary":"","title":"Stimfit"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-6pq9qz2j/","section":"Publications","summary":"","title":"Structural Equation Modeling of Neuroimaging Data: Exhaustive Search and Markov Chain Monte Carlo"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/tags/","section":"Tags","summary":"","title":"Tags"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-2021-02-10-430678/","section":"Publications","summary":"","title":"TemplateFlow: a community archive of imaging templates and atlases for improved consistency in neuroimaging"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41592-022-01681-2/","section":"Publications","summary":"","title":"TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-fdb48tzj/","section":"Publications","summary":"","title":"Temporal dynamics and effective connectivity in the distributed system of familiar face processing"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41597-021-01033-3/","section":"Publications","summary":"","title":"The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1162-jocn-a-00733/","section":"Publications","summary":"","title":"The animacy continuum in the human ventral vision pathway"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-dgvnva4t/","section":"Publications","summary":"","title":"The best of both worlds: using semantic web with JSON-LD. An example with NIDM-Results \u0026 DataLad"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-5281-zenodo-3720628/","section":"Publications","summary":"","title":"The Brain Imaging Data Structure (BIDS) Specification, Version 1.3.0"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-sdata-2016-44/","section":"Publications","summary":"","title":"The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-034561/","section":"Publications","summary":"","title":"The Brain Imaging Data Structure: a standard for organizing and describing outputs of neuroimaging experiments"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-u6pyqf8i/","section":"Publications","summary":"","title":"The impact of shared data in neuroimaging: the case of OpenfMRI.org"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-2022-05-15-492022/","section":"Publications","summary":"","title":"The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1162-imag-a-00032/","section":"Publications","summary":"","title":"The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1002-brb3-2695/","section":"Publications","summary":"","title":"The interaction between depression diagnosis and BMI is related to altered activation pattern in the right inferior frontal gyrus and anterior cingulate cortex during food anticipation"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-2021-02-17-21251922/","section":"Publications","summary":"","title":"The interaction between lifetime depression severity and BMI is related to altered activation pattern in the right inferior frontal gyrus during food anticipation"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-egbb5ta7/","section":"Publications","summary":"","title":"The model of associative processor for numerical data sorting"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41598-017-12559-1/","section":"Publications","summary":"","title":"The Neural Representation Of Personally Familiar And Unfamiliar Faces In The Distributed System For Face Perception"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-138297/","section":"Publications","summary":"","title":"The Neural Representation Of Personally Familiar And Unfamiliar Faces In The Distributed System For Face Perception"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1002-hbm-25351/","section":"Publications","summary":"","title":"The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-31234-osf-io-f6mnp/","section":"Publications","summary":"","title":"The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1162-imag-a-00103/","section":"Publications","summary":"","title":"The past, present, and future of the brain imaging data structure (BIDS)"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-48550-arxiv-2309-05768/","section":"Publications","summary":"","title":"The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-3389-fnins-2023-1233416/","section":"Publications","summary":"","title":"The PyMVPA BIDS-App: a robust multivariate pattern analysis pipeline for fMRI data"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-3389-fnhum-2022-749767/","section":"Publications","summary":"","title":"The Relationship Between Default Mode and Dorsal Attention Networks Is Associated With Depressive Disorder Diagnosis and the Strength of Memory Representations Acquired Prior to the Resting State Scan"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1016-j-neuron-2016-10-033/","section":"Publications","summary":"","title":"To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/topics/","section":"Topics","summary":"","title":"Topics"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/tor-wager/","section":"People","summary":"","title":"Tor Wager"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-nn-4550/","section":"Publications","summary":"","title":"Toward standard practices for sharing computer code and programs in neuroscience"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1101-045104/","section":"Publications","summary":"","title":"Towards standard practices for sharing computer code and programs in neuroscience"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-k7pww352/","section":"Publications","summary":"","title":"Transmodal Analysis of Neural Signals"},{"content":"Develop and test software, data standards, and analysis workflows that help researchers put new methods into practice.\nNew methods become useful when other researchers can run them, inspect them, and build on them. We work with research communities to develop and test software, ways of organizing data, and analysis steps that work together. This helps people use research methods in their own studies.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/objectives/translational-research-infrastructure/","section":"Objectives","summary":"","title":"Turn research ideas into working tools"},{"content":"Develop and test better ways to analyse brain activity and behaviour during rich experiences, such as watching a film.\nFilms combine images, sound, and events that unfold over time. Understanding the brain\u0026rsquo;s responses takes methods that can handle these details together. We develop and test ways to make that analysis more reliable and practical, so researchers can learn more from the same recordings. This builds on Psychoinformatics\u0026rsquo; objective for naturalistic studies.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/objectives/rich-naturalistic-data/","section":"Objectives","summary":"","title":"Understand brain function during everyday experiences"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-82iu29zk/","section":"Publications","summary":"","title":"US-RSE Stories: Open up, Neuroscience! Here comes NeuroDebian"},{"content":"A PDF reader that links the static content of scientific articles to live online resources, data and annotations.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/utopia-documents/","section":"Projects","summary":"","title":"Utopia Documents"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/vadim-melnik/","section":"People","summary":"","title":"Vadim Melnik"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/vanessa-sochat/","section":"People","summary":"","title":"Vanessa Sochat"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/zotero-7u85zj95/","section":"Publications","summary":"","title":"Variability of the Neuroimaging Results Across OS, and How to Avoid it"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41598-021-87069-2/","section":"Publications","summary":"","title":"White matter abnormalities in adults with bipolar disorder type-II and unipolar depression"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-1038-s41398-022-02211-6/","section":"Publications","summary":"","title":"Working memory updating in individuals with bipolar and unipolar depression: fMRI study"},{"content":"An open platform for imaging-based research: archiving, managing and sharing imaging and related study data.\n","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/xnat/","section":"Projects","summary":"","title":"XNAT"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/persons/yaroslav-halchenko/","section":"People","summary":"","title":"Yaroslav Halchenko"},{"content":"","date":null,"permalink":"https://dev.centerforopenneuroscience.org/publications/doi-10-7490-f1000research-1116363-1/","section":"Publications","summary":"","title":"YODA: YODA’s organigram on data analysis"},{"content":"Collection of best practices for organizing and managing digital objects of science.\nPart of # Center for Open Neuroscience People #Currently associated # Michael Hanke (Lead) Kyle Meyer (Contributor) Matteo Visconti di Oleggio Castello (Contributor) Benjamin Poldrack (Contributor) Yaroslav Halchenko (Contributor) ","date":null,"permalink":"https://dev.centerforopenneuroscience.org/projects/yoda/","section":"Projects","summary":"","title":"YODA's Organigram on Data Analysis"}]