Dynamic Representation of Multidimensional Object Properties in the Human Brain

Article Article scientifique Article Dynamic Representation of Multidimensional Object Properties in the Human Brain eng 2026-03-04 author Teichmann Lina 0000-0002-8040-5686 Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892 lina.teichmann@unige.ch.,Department of Basic Neuroscience, Faculty of Medicine, University of Geneva, Geneva 1206, Switzerland. 432038 Département de neurosciences fondamentales (NEUFO) author Hebart Martin N 0000-0001-7257-428X Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892.,Vision and Computational Cognition Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany.,Department of Medicine, Justus Liebig University Giessen, Giessen 35392, Germany.,Center for Mind, Brain and Behavior (CMBB), Universities of Marburg, Giessen, and Darmstadt, Justus Liebig University Giessen, Giessen 35392,Germany. author Baker Chris I 0000-0001-6861-8964 Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892. e1057252026 10.1523/JNEUROSCI.1057-25.2026 41629159 0270-6474 PMC12962772 Our visual world consists of an immense number of unique objects and yet, we are easily able to identify, distinguish, and reason about the things we see within a few hundred milliseconds. Here, we used a large-scale and comprehensively sampled stimulus set and developed an analysis approach to capture how rich, multidimensional object representations unfold over time in the human brain. We modeled time-resolved MEG signals of four humans (two females and two males) viewing single presentations of tens of thousands of object images based on millions of behavioral judgments. Extracting behavior-derived object dimensions from similarity judgments, we developed a data-driven approach to guide our understanding of the neural representation of the object space and found that every dimension is reflected in the neural signal. Studying the temporal profiles for different object dimensions, we found that the time courses fell into two broad types, with either a distinct and early peak (∼125 ms) or a slow rise to a late peak (∼300 ms). Further, early effects were stable across participants, in contrast to later effects which showed more variability, suggesting that early peaks may carry stimulus-specific and later peaks more participant-specific information. Dimensions with early peaks appeared to be primarily visual dimensions and those with later peaks more conceptual, suggesting that conceptual representations are more variable across people. Together, these data provide a comprehensive account of how behavior-derived object properties unfold in the human brain and form the basis for the rich nature of object vision. MEG Objects Timeseries Visual perception Dewey 616.8 HHS | National Institutes of Health ZIA-MH-002909 EC | Horizon Europe | Excellent Science | HORIZON EUROPE European Research Council ERC-StG-2021-101039712 Hessian Ministry of Higher Education , Science, Research, and the Arts LOEWE Start Professorship Swiss National Science Foundation Quantifying subjective visual experiences in the human brain 223909 CH 53 Département de neurosciences fondamentales 21A false The Journal of neuroscience 46 9 dd9570a8-e592-4cd7-ae5c-ae02330459a0 Article (Published version) Public teichmann_2026.pdf 3852013 application/pdf Restricted 2026-09-05 4bf04ee0396191f38408ac4d88d8881ab1e5b080a77ba1a6ca8d12397b6a3590 embargoedAccess Faculté de médecine / Section de médecine fondamentale / Département de neurosciences fondamentales

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Dynamic Representation of Multidimensional Object Properties in the Human Brain	The Journal of neuroscience			2026	6	0

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