James V. Haxby
Professor
Appointments
Professor
Area of Expertise
Computational cognitive neuroscience,
Neural decoding
Biography
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.
Education
B.A. Carleton College
Ph.D. University of Minnesota
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
Hanke, M. , Halchenko, Y. O. , Sederberg, P. B., Hanson, S. J., Haxby, J. V. and Pollmann, S. (2009). PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data. Neuroinformatics, 7, 37–53. DOI: 10.1007/s12021-008-9041-y,
Haxby, J. V. , Guntupalli, J. S. , Connolly, A. C. , Halchenko, Y. O. , Conroy, B. R., Gobbini, M. I. , Hanke, M. and Ramadge, P. J. (2011). A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex. Neuron, 72, 404–416. DOI: 10.1016/j.neuron.2011.08.026, cited by: 21
Haxby, J. V. (2012). Multivariate pattern analysis of fMRI: The early beginnings. NeuroImage, In press. DOI: 10.1016/j.neuroimage.2012.03.016, cited by: 3
Connolly, A. C. , Guntupalli, J. S. , Gors, J. , Hanke, M. , Halchenko, Y. O., Wu, Y. , Abdi, H. and Haxby, J. V. (2012). Representation of biological classes in the human brain. Journal of Neuroscience, 32, 2608–2618. DOI: 10.1523/JNEUROSCI.5547-11.2012,
Haxby, J.V., Connolly, A.C., Guntupalli, J.S. (2014). Decoding neural representational spaces using multivariate pattern analysis. Annual Review of Neuroscience, 37, 435-456.
Guntupalli JS, Hanke M, Halchenko YO, Connolly AC, Ramadge PJ, Haxby JV. (2016). A model of representational spaces in human cortex. Cerebral Cortex, 36, 5373-5384.
Nastase SA, Connolly AC, Oosterhof NN, Halchenko YO, Guntupalli JS, Visconti di Oleggio Castello M, Gors J, Gobbini MI, Haxby JV. (2017). Attention selectively reshapes the geometry of distributed semantic representation. Cerebral Cortex, 27, 4277-4291.
Haxby JV, Gobbini MI, Nastase SA. (2020). Naturalistic stimuli reveal a dominant role for agentic action in visual representation. Neuroimage, 216, 116561. https://doi.org/10.1016/j.neuroimage.2020.116561
Haxby JV, Guntupalli JS, Nastase SA, Feilong M. (2020). Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies. eLife, 9, e56601. doi: https://doi.org/10.7554/eLife.56601
Feilong M, Guntupalli JS, Haxby JV. (2021). The neural basis of intelligence in fine-grained cortical topographies. eLife, 10, e64058. DOI: 10.7554/eLife.64058
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, USA, 118, e2110474118. https://doi.org/10.1073/pnas.2110474118
Busch EL, Rapuano KM Anderson KM, Rosenberg MD, Watts R, Casey BJ, Haxby JV, Feilong M. (2023). Dissociation of reliability, heritability, and predictivity in coarse-and fine-scale functional connectomes during development. Journal of Neuroscience. https://doi.org/10.1523/JNEUROSCI.0735-23.2023
Feilong M, Nastase SA, Jiahui G, Halchenko YO, Gobbini MI, Haxby JV. (2023).The Individualized Neural Tuning Model: Precise and generalizable cartography of functional architecture in individual brains. Imaging Neuroscience, 1, 1-34. https://doi.org/10.1162/imag_a_00032
Jiahui G, Feilong M, Visconti di Oleggio Castello M, Nastase SA, Haxby JV, Gobbini MI. (2023). Modeling naturalistic face processing in humans with deep convolutional neural networks. Proceedings of the National Academy of Sciences, USA, 120, e2304085120. https://doi.org/10.1073/pnas.2304085120.
Jiahui G, Feilong M, Nastase SA, Haxby JV, Gobbini MI. (2023). Cross-movie prediction of individualized functional topography. eLife, 12, e86037. https://doi.org/10.7554/eLife.86037
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