A Model of Representational Spaces in Human Cortex.

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 ac

SUBMITTER: Guntupalli JS 

PROVIDER: S-EPMC4869822 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature