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
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
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
BETA: Related publications

Publications

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Haxby JV, Guntupalli JS, Nastase SA, et al. (2020) Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies. Elife. 9
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, Gobbini MI, Nastase SA. (2020) Naturalistic stimuli reveal a dominant role for agentic action in visual representation. Neuroimage. 116561
Jiahui G, Feilong M, Visconti di Oleggio Castello M, et al. (2019) Predicting individual face-selective topography using naturalistic stimuli. Neuroimage. 116458
Cetron JS, Connolly AC, Diamond SG, et al. (2019) Decoding individual differences in STEM learning from functional MRI data. Nature Communications. 10: 2027
Huckins JF, daSilva AW, Wang R, et al. (2019) Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students. Frontiers in Neuroscience. 13: 248
Feilong M, Nastase SA, Guntupalli JS, et al. (2018) Reliable individual differences in fine-grained cortical functional architecture. Neuroimage
Van Uden CE, Nastase SA, Connolly AC, et al. (2018) Modeling Semantic Encoding in a Common Neural Representational Space. Frontiers in Neuroscience. 12: 437
Nastase SA, Halchenko YO, Connolly AC, et al. (2018) Neural Responses to Naturalistic Clips of Behaving Animals in Two Different Task Contexts. Frontiers in Neuroscience. 12: 316
Guntupalli JS, Feilong M, Haxby JV. (2018) A computational model of shared fine-scale structure in the human connectome. Plos Computational Biology. 14: e1006120
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