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.
Authors: Benquet C; EPFL Neuro, School of Life Sciences, EPFL, 1202 Genève, Switzerland., Sainsbury T; EPFL Neuro, School of Life Sciences, EPFL, 1202 Genève, Switzerland., Bruneau L; EPFL Neuro, School of Life Sciences, EPFL, 1202 Genève, Switzerland., Lin Y; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA 94303, USA; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA., Cai C; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA 94303, USA; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Institute for Ophthalmic Research, Tübingen University, 72076 Tübingen, Germany., Popova M; EPFL Neuro, School of Life Sciences, EPFL, 1202 Genève, Switzerland., Ponder K; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA 94303, USA; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA., Ntanavara L; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA 94303, USA; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA., Froebe R; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA 94303, USA; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA., Tan Z; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA 94303, USA; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA., Fahey P; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA 94303, USA; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA., Franke K; Institute for Ophthalmic Research, Tübingen University, 72076 Tübingen, Germany., Franco LM; Department of Biology and Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA., Jones K; Department of Biology and Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA., Chen Y; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA., Keller R; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA., Pitkow X; Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Department of Electrical and Computer Engineering, Department of Computer Science, Rice University, Houston, TX 77005, USA; NSF AI Institute for Artificial and Natural Intelligence (ARNI), Columbia Engineering School, New York, NY 10027, USA., Niell CM; Department of Biology and Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA., Tolias AS; Department of Neuroscience, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, TX 77030, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University School of Medicine, Stanford University, Palo Alto, CA 94303, USA; Stanford Bio-X, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA., Mathis MW; EPFL Neuro, School of Life Sciences, EPFL, 1202 Genève, Switzerland. Electronic address: mackenzie.mathis@epfl.ch.
Source: Current biology : CB [Curr Biol] 2026 Jul 20; Vol. 36 (14), pp. 3523-3534.e9. Date of Electronic Publication: 2026 Jun 30.
Publication Type: Journal Article
Journal Info: Publisher: Cell Press Country of Publication: England NLM ID: 9107782 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0445 (Electronic) Linking ISSN: 09609822 NLM ISO Abbreviation: Curr Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0445
DOI:10.1016/j.cub.2026.06.011