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EnglishWe present a high-dimensional model of the representational space in human ventral temporal (VT) cortex in which dimensions are response-tuning functions that are common across individuals and patterns of response are modeled as weighted sums of basis patterns associated with these response tunings. We map response-pattern vectors, measured with fMRI, from individual subjects' voxel spaces into this common model space using a new method, "hyperalignment." Hyperalignment parameters based on responses during one experiment--movie viewing--identified 35 common response-tuning functions that captured fine-grained distinctions among a wide range of stimuli in the movie and in two category perception experiments. Between-subject classification (BSC, multivariate pattern classification based on other subjects' data) of response-pattern vectors in common model space greatly exceeded BSC of anatomically aligned responses and matched within-subject classification. Results indicate that population codes for complex visual stimuli in VT cortex are based on response-tuning functions that are common across individuals.
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| Titolo: | A common high-dimensional model of the representational space in human ventral temporal cortex |
| Autori: | Haxby, James Van Loan; Guntupalli, J. . S.; A. C., Connolly; Y. O., Halchenko; B. R., Conroy; M. I., Gobbini; M., Hanke; P. J., Ramadge |
| Autori Unitn: | |
| Titolo del periodico: | NEURON |
| Anno di pubblicazione: | 2011 |
| Numero e parte del fascicolo: | 2 |
| Codice identificativo Scopus: | 2-s2.0-80054834251 |
| Codice identificativo ISI: | WOS:000296224000020 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.neuron.2011.08.026 |
| Handle: | http://hdl.handle.net/11572/90754 |
| Appare nelle tipologie: | 03.1 Articolo su rivista (Journal article) |
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