Yaroslav O. Halchenko
Affiliations: | Dartmouth College, Hanover, NH, United States |
Area:
Imaging, Multimodal Analysis, PyMVPA, Category-specific Visual ProcessingWebsite:
http://www.onerussian.comGoogle:
"Yaroslav Halchenko"Mean distance: 14.47 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Barak A. Pearlmutter | grad student | 2000-2002 | Univ. of New Mexico | |
| Stephen Jose Hanson | grad student | 2002-2009 | NJIT | |
| (Predictive decoding of neural data.) | ||||
| James Haxby | post-doc | 2009- | Dartmouth | |
Collaborators
Sign in to add collaborator| Per B. Sederberg | collaborator | ||
| Matteo Visconti di Oleggio Castello | collaborator | Dartmouth | |
| Michael Hanke | collaborator | 2006- | |
| Russell A. Poldrack | collaborator | 2008- | Rutgers, Newark |
| Samuel A. Nastase | collaborator | 2012- | Dartmouth |
BETA: Related publications
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Publications
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| Han J, Chauhan V, Philip R, et al. (2024) Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision. Research Square |
| Han J, Chauhan V, Philip R, et al. (2024) Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision. Biorxiv : the Preprint Server For Biology |
| Halchenko YO, Goncalves M, Ghosh S, et al. (2024) HeuDiConv - flexible DICOM conversion into structured directory layouts. Journal of Open Source Software. 9 |
| Poldrack RA, Markiewicz CJ, Appelhoff S, et al. (2024) The past, present, and future of the brain imaging data structure (BIDS). Imaging Neuroscience (Cambridge, Mass.). 2: 1-19 |
| Feilong M, Nastase SA, Jiahui G, et al. (2023) The individualized neural tuning model: Precise and generalizable cartography of functional architecture in individual brains. Imaging Neuroscience (Cambridge, Mass.). 1 |
| Subash P, Gray A, Boswell M, et al. (2023) A comparison of neuroelectrophysiology databases. Scientific Data. 10: 719 |
| Poldrack RA, Markiewicz CJ, Appelhoff S, et al. (2023) The Past, Present, and Future of the Brain Imaging Data Structure (BIDS). Arxiv |
| Zhao C, Jarecka D, Covitz S, et al. (2023) A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps. Biorxiv : the Preprint Server For Biology |
| Subash P, Gray A, Boswell M, et al. (2023) A Comparison of Neuroelectrophysiology Databases. Arxiv |
| Kiar G, Clucas J, Feczko E, et al. (2023) Align with the NMIND consortium for better neuroimaging. Nature Human Behaviour |