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• W1976193721 abstract "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." @default.
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• W1976193721 date "2011-10-01" @default.
• W1976193721 modified "2023-10-13" @default.
• W1976193721 title "A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex" @default.
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• W1976193721 doi "https://doi.org/10.1016/j.neuron.2011.08.026" @default.
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