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A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex
Open accessAbstract
Summary We 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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“This requires fine-grain matching of subjects’ anatomy and function, yet it bears the promise of more general representations of cognition (Haxby et al., 2011).”
Background
Metadata
- Authors
- Haxby, J. V., Guntupalli, J. S., Connolly, A. C., Halchenko, Y. O., Conroy, B. R., Gobbini, M. I., Hanke, M., & Ramadge, P. J.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 72
- Issue
- 2
- Pages
- 404-416
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W1976193721
- Cited by
- 648
- References
- 50
- FWCI
- 9.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 691 d)
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- Haxby, J. V., Guntupalli, J. S., Connolly, A. C., Halchenko, Y. O., Conroy, B. R., Gobbini, M. I., Hanke, M., & Ramadge, P. J. (2011). A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex. Neuron. https://doi.org/10.1016/j.neuron.2011.08.026
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