James Haxby

Professor of Psychological and Brain Sciences at Dartmouth. Directed the Dartmouth Brain Imaging Center and the Center for Cognitive Neuroscience, and cradled many of the CON projects.

Contributions

Datasets

Haxby 2001 faces and objects

Projects

Publications

PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data (2009)
PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data (2009)
Improving efficiency in cognitive neuroscience research with NeuroDebian (2010)
Statistical learning analysis in neuroscience: aiming for transparency (2010)
A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex (2011-10)
Scanning parameters for optimal decoding using a 32-channel head coil for fMRI (2011)
Representation of biological classes in the human brain (2012-02)
Investigation of the familiar face recognition model (2012)
Pattern classification precedes region-average hemodynamic response in early visual cortex. (2013-04)
Transmodal Analysis of Neural Signals (2013-07)
Attention locally modulates the discriminability of high-level, task-relevant representations (2014)
Attentional allocation locally warps representational space (2014)
Finding Cortical Patches of Shared Representations (2015/10)
Attention alters animal and action representation in highly-distributed functionally-defined cortical parcels (2015)
Clustering cortical searchlights based on shared representational geometry (2015)
Finding cortical patches of shared representations: a comparison of clustering algorithms on representational geometries, and the effect of cross-validation to reduce physiological noise (2015)
The animacy continuum in the human ventral vision pathway (2015)
How the human brain represents perceived dangerousness or "predacity" of animals (2016-05)
A Model of Representational Spaces in Human Cortex (2016-06)
Localizing functional regions of interest based on responses to dynamic naturalistic stimuli (2016/11)
Attention selectively reshapes the geometry of distributed semantic representation (2016)
Localizing functional regions of interest based on responses to dynamic naturalistic stimuli (2016)
Attention selectively reshapes the geometry of distributed semantic representation (2017)
Decoding the neural representation of observed social and nonsocial human actions (2018)
ReproIn: automatic generation of shareable, version-controlled BIDS datasets from MR scanners (2018)
DataLad: distributed system for joint management of code, data, and their relationship (2021/07/01)
The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains (2022-05)
The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains (2023)
HeuDiConv — flexible DICOM conversion into structureddirectory layouts (2024-07-03)
Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision (2024-11)