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James Haxby

Affiliations: 
Dartmouth College, Hanover, NH, United States 
Area:
Object recognition; computational fMRI
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"James Haxby"
Mean distance: 13.28 (cluster 23)
 

Children

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Priyanka Pandit research assistant Princeton
Ronnie E. Bryan research assistant 2004-2006 Princeton
Aaron C. Koralek research assistant 2005-2006 Princeton
Long Sha research assistant 2011-2013 Dartmouth
Erica L. Busch research assistant 2018-2020 Dartmouth
Kim Montgomery grad student Princeton
Samuel A. Nastase grad student 2012- Dartmouth
Andrew D. Engell grad student 2003-2008 Princeton
J Swaroop S. Guntupalli grad student 2008-2013 Dartmouth
Matteo Visconti di Oleggio Castello grad student 2011-2013 University of Trento, Italy
Jane Han grad student 2020-2025 Dartmouth
Vincent P. Clark post-doc NIMH, NIH
Susan M. Courtney post-doc Johns Hopkins
Andrew C. Connolly post-doc 2008- Dartmouth
Yaroslav O. Halchenko post-doc 2009- Dartmouth
Michael Hanke post-doc 2009- Dartmouth
Michael S. Beauchamp post-doc 1997-2000 NIMH
Yang Jiang post-doc 1997-2000 NIMH
John Darrell Van Horn research scientist UCLA

Collaborators

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Michael S. Beauchamp collaborator NIMH
Alumit Ishai collaborator Princeton
Emiliano Ricciardi collaborator
Leslie Ungerleider collaborator NIMH
Alexander T. Todorov collaborator 2007
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Publications

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Feilong M, Jiahui G, Gobbini MI, et al. (2024) A cortical surface template for human neuroscience. Nature Methods
Haxby JV, Martin A. (2024) Complementary and Mostly Consistent Accounts of the Early History of the Laboratory of Brain and Cognition. Journal of Cognitive Neuroscience. 1-3
Busch EL, Rapuano KM, Anderson KM, et al. (2023) Dissociation of reliability, heritability, and predictivity in coarse- and fine-scale functional connectomes during development. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Jiahui G, Feilong M, Nastase SA, et al. (2023) Cross-movie prediction of individualized functional topography. Elife. 12
Jiahui G, Feilong M, Visconti di Oleggio Castello M, et al. (2023) Modeling naturalistic face processing in humans with deep convolutional neural networks. Proceedings of the National Academy of Sciences of the United States of America. 120: e2304085120
Visconti di Oleggio Castello M, Haxby JV, Gobbini MI. (2021) Shared neural codes for visual and semantic information about familiar faces in a common representational space. Proceedings of the National Academy of Sciences of the United States of America. 118
Busch EL, Slipski L, Feilong M, et al. (2021) Hybrid Hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity. Neuroimage. 117975
Feilong M, Guntupalli JS, Haxby JV. (2021) The neural basis of intelligence in fine-grained cortical topographies. Elife. 10
Cetron JS, Connolly AC, Diamond SG, et al. (2020) Using the force: STEM knowledge and experience construct shared neural representations of engineering concepts. Npj Science of Learning. 5: 6
Haxby JV, Guntupalli JS, Nastase SA, et al. (2020) Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies. Elife. 9
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