Visual uncertainty and task demands shape active sensing strategies in mice.
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| Title: | Visual uncertainty and task demands shape active sensing strategies in mice. |
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| Authors: | Benquet C; EPFL Neuro, School of Life Sciences, EPFL, Genève, Switzerland., Sainsbury T; EPFL Neuro, School of Life Sciences, EPFL, Genève, Switzerland., Bruneau L; EPFL Neuro, School of Life Sciences, EPFL, Genève, Switzerland., Lin Y; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA, USA.; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Cai C; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA, USA.; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA.; Institute for Ophthalmic Research, Tübingen University, Tübingen, Germany., Popova M; EPFL Neuro, School of Life Sciences, EPFL, Genève, Switzerland., Ponder K; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA, USA.; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Ntanavara L; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA, USA.; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Froebe R; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA, USA.; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Tan Z; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA, USA.; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Fahey P; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA, USA.; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Franke K; Institute for Ophthalmic Research, Tübingen University, Tübingen, Germany., Franco LM; Department of Biology and Institute of Neuroscience, University of Oregon, Eugene, OR, USA., Jones K; Department of Biology and Institute of Neuroscience, University of Oregon, Eugene, OR, USA., Chen Y; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA., Keller R; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.; Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA., Pitkow X; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA.; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA.; Department of Electrical and Computer Engineering, Department of Computer Science, Rice University, Houston, TX, USA.; NSF AI Institute for Artificial and Natural Intelligence (ARNI), Columbia Engineering School, New York, NY, USA., Niell CM; Department of Biology and Institute of Neuroscience, University of Oregon, Eugene, OR, USA., Tolias AS; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX, USA.; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA, USA.; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Mathis MW; EPFL Neuro, School of Life Sciences, EPFL, Genève, Switzerland. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2026 Jun 22. Date of Electronic Publication: 2026 Jun 22. |
| 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 |
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