Predicting functional topography of the human visual cortex from cortical anatomy at scale.

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Bibliographic Details
Title: Predicting functional topography of the human visual cortex from cortical anatomy at scale.
Authors: Ribeiro FL; Department of Medicine, Justus-Liebig University Giessen, Giessen, Germany.; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.; Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Giessen and Darmstadt, Germany., Satzger R; Department of Medicine, Justus-Liebig University Giessen, Giessen, Germany.; Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Giessen and Darmstadt, Germany., Hoffstaedter F; Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Center Jülich, Jülich, Germany.; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany., Bürger C; Department of Medicine, Justus-Liebig University Giessen, Giessen, Germany., Herholz P; Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.; NeuroDataScience - ORIGAMI laboratory, Montréal Neurological Institute-Hospital, McGill University, Montréal, Canada., Linhardt D; High Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria., Benson NC; eScience Institute, University of Washington, Seattle, United States., Schwarzkopf DS; School of Optometry & Vision Science, Waipapa Taumata Rau University of Auckland, Auckland, Aotearoa New Zealand.; Experimental Psychology, University College London, London, United Kingdom., Puckett AM; Graduate School of Health, University of Technology Sydney, Sydney, Australia., Bollmann S; School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.; Queensland Digital Health Centre, University of Queensland, Brisbane, Australia., Hebart MN; Department of Medicine, Justus-Liebig University Giessen, Giessen, Germany.; Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Giessen and Darmstadt, Germany.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 Jan 30. Date of Electronic Publication: 2026 Jan 30.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2025.11.27.690210