2026-05-28T13:24:46Zhttps://www.radar-service.eu/oai/OAIHandler

10.48606/6jhypme0jeu49raa2026-04-24T07:42:13Z

10.48606/6jhypme0jeu49raa Bahl, Armin Armin Bahl 0000-0001-7591-5860 University of Konstanz University of Konstanz 2025 2026 Biology larval zebrafish sensorimotor decision-making virtual environment visual system Source code for analysis and simulation related to behavior and two-photon imaging data Open Access Creative Commons Attribution 4.0 International Bahl, Armin 0000-0001-7591-5860 Slangewal, Katja 0000-0003-0074-2656 University of Konstanz Aimon, Sophie 0000-0002-0990-0342 University of Konstanz Capelle, Maxime Quirijn 0009-0009-3473-0240 University of Konstanz Naumann, Heike 0000-0003-3883-0432 University of Konstanz Slanchev, Krasimir 0009-0008-5218-5218 Max Planck Institute for Biological Intelligence Baier, Herwig 0000-0002-7268-0469 Max Planck Institute for Biological Intelligence Bahl, Armin 0000-0001-7591-5860 University of Konstanz Animals continuously extract and evaluate diverse sensory information from the environment to guide behavior. Yet, how neural circuits integrate multiple, potentially conflicting, inputs remains poorly understood. Here, we use larval zebrafish to address this question, leveraging their robust optomotor response to coherent random dot motion and phototaxis towards light. We demonstrate that animals employ an additive behavioral algorithm of three visual features: motion coherence, luminance level, and changes in luminance. Using brain-wide two-photon imaging, we identify the loci of these computations, with the anterior hindbrain emerging as a multifeature integration hub. Through single-cell neurotransmitter and morphological analyses of functionally identified neurons, we characterize potential connections within and across computational nodes. These experiments reveal three parallel and converging computational pathways, matching our behavioral results. Our study provides a mechanistic brain-wide account of how a vertebrate brain integrates multiple features to drive sensorimotor decisions, bridging behavioral algorithms with their neural implementation. en https://github.com/bahl-lab-konstanz/multifeature_integration_paper 10.48606/tus7hs1zv77phbtv 10.1038/s41467-026-69633-4 GERMANY Deutsche Forschungsgemeinschaft https://ror.org/018mejw64 BA 5923/1-1 European Research Council https://ror.org/0472cxd90 101075541 CollectiveDecisions Deutsche Forschungsgemeinschaft https://ror.org/018mejw64 EXC 2117 – 422037984 Zukunftskolleg Konstanz University of Konstanz Max Planck Society https://ror.org/01hhn8329 IMPRS-QBEE Boehringer Ingelheim Fonds https://ror.org/00dkye506 National Institute of Health https://ror.org/05h1kgg64 U19NS104653 application/x-tar