A Model of Representational Spaces in Human Cortex

Cerebral Cortex
J Swaroop GuntupalliJames V Haxby

Abstract

Current models of the functional architecture of human cortex emphasize areas that capture coarse-scale features of cortical topography but provide no account for population responses that encode information in fine-scale patterns of activity. Here, we present a linear model of shared representational spaces in human cortex that captures fine-scale distinctions among population responses with response-tuning basis functions that are common across brains and models cortical patterns of neural responses with individual-specific topographic basis functions. We derive a common model space for the whole cortex using a new algorithm, searchlight hyperalignment, and complex, dynamic stimuli that provide a broad sampling of visual, auditory, and social percepts. The model aligns representations across brains in occipital, temporal, parietal, and prefrontal cortices, as shown by between-subject multivariate pattern classification and intersubject correlation of representational geometry, indicating that structural principles for shared neural representations apply across widely divergent domains of information. The model provides a rigorous account for individual variability of well-known coarse-scale topographies, such as retinotopy an...Continue Reading

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Citations

Apr 14, 2016·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Ralph AdolphsJames V Haxby
May 4, 2016·Trends in Cognitive Sciences·Julien Dubois, Ralph Adolphs
Jun 20, 2016·Trends in Cognitive Sciences·Shinji Nishimoto, Satoshi Nishida
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Apr 18, 2018·PLoS Computational Biology·J Swaroop GuntupalliJames V Haxby
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Jul 26, 2018·Frontiers in Neuroscience·Cara E Van UdenJames V Haxby
Dec 4, 2020·PLoS Computational Biology·Sreejan KumarNicholas B Turk-Browne
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Jan 15, 2021·Scientific Reports·Justin KilmarxJarrod Lewis-Peacock
Nov 13, 2020·Scientific Data·Matteo Visconti di Oleggio CastelloM Ida Gobbini
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Apr 22, 2021·NeuroImage·Linda GeerligsUmut Güçlü

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