Visual cortex: Big data analysis uncovers food specificity

Michael M Bannert; Andreas Bartels

doi:10.1016/j.cub.2022.08.068

Visual cortex: Big data analysis uncovers food specificity

Curr Biol. 2022 Oct 10;32(19):R1012-R1015. doi: 10.1016/j.cub.2022.08.068.

Authors

Michael M Bannert¹, Andreas Bartels²

Affiliations

¹ Vision and Cognition Lab, Centre for Integrative Neuroscience, Department of Psychology, University of Tübingen, Tübingen, Germany; Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Bernstein Center for Computational Neuroscience, Tübingen, Germany.
² Vision and Cognition Lab, Centre for Integrative Neuroscience, Department of Psychology, University of Tübingen, Tübingen, Germany; Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Bernstein Center for Computational Neuroscience, Tübingen, Germany. Electronic address: andreas.bartels@tuebingen.mpg.de.

PMID: 36220088
DOI: 10.1016/j.cub.2022.08.068

Abstract

In visual cortex, anatomically distinct patches respond to distinct categories, such as faces or text. New research confirms this parcellation using unsupervised analysis of functional magnetic resonance imaging data obtained from humans viewing tens of thousands of images, discovering one more preference: for food.

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MeSH terms

Brain Mapping*
Data Analysis
Humans
Magnetic Resonance Imaging
Pattern Recognition, Visual
Visual Cortex*