James V. Haxby

Academic Appointments


We have developed a computational conceptual framework, Hyperalignment, to model shared and individuating information that is embedded in idiosyncratic cortical functional topographies.  We have just begun a project, HyperBrain, to collect a normative dataset and build turnkey software that will allow other investigators to hyperalign their data to a standard template of information spaces and to estimate a broad range of individualized functional topographies in their participants' brains.  We use fMRI data collected while participants watch naturalistic, dynamic stimuli that we use as the basis for calculating hyperalignment transformation matrices and for our studies of visual and social cognition.  We are dedicated advocates of open neuroscience.


Moore Hall, Room 447
HB 6207


Psychological and Brain Sciences


  • B.A. Carleton College
  • Ph.D. University of Minnesota

Selected Publications

  • Haxby, J.V., Hoffman, E.A., Gobbini, M.I. (2000). The distributed human neural system for face perception. Trends in Cognitive Sciences,  4, 223-233.

  • Haxby, J.V., Gobbini, M.I., Furey, M.L., Ishai, A., Schouten, J.L., Pietrini, P.  (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex.  Science, 293, 2425-2430.

  • Gobbini, M. I. and Haxby, J. V. (2007). Neural systems for recognition of familiar faces.. Neuropsychologia, 45, 32–41. DOI: 10.1016/j.neuropsychologia.2006.04.015, cited by: 282

  • Gobbini, M. I., Koralek, A. C., Bryan, R. E., Montgomery, K. J. and Haxby, J. V. (2007). Two takes on the social brain: a comparison of theory of mind tasks.. J Cogn Neurosci, 19, 1803–14. DOI: 10.1162/jocn.2007.19.11.1803, cited by: 156

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