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Biologically informed cortical models predict optogenetic perturbations.

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Title: Biologically informed cortical models predict optogenetic perturbations.
Authors: Sourmpis C; Laboratory of Computational Neuroscience, Brain Mind Institute, School of Computer and Communication Sciences and School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.; Laboratory of Sensory Processing, Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Petersen CCH; Laboratory of Sensory Processing, Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Gerstner W; Laboratory of Computational Neuroscience, Brain Mind Institute, School of Computer and Communication Sciences and School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Bellec G; Laboratory of Computational Neuroscience, Brain Mind Institute, School of Computer and Communication Sciences and School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.; Machine Learning Research Unit, Technical University of Vienna (TU Wien), Vienna, Austria.
Source: ELife [Elife] 2026 Jan 16; Vol. 14. Date of Electronic Publication: 2026 Jan 16.
Publication Type: Journal Article
Journal Info: Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="JN" term="%22101579614%22">ELife</searchLink> [Elife] 2026 Jan 16; Vol. 14. <i>Date of Electronic Publication: </i>2026 Jan 16.
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        Value: 10.7554/eLife.106827
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              Text: 2026 Jan 16
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