Visual uncertainty and task demands shape active sensing strategies in mice
Célia Benquet, Thomas Sainsbury, Léo Bruneau, Yang Lin, Chenchen Cai, Mariia Popova, Kayla Ponder, Lydia Ntanavara, Rachel Froebe, Zheng Tan, Paul Fahey, Katrin Franke, Luis M. Franco, Keaton Jones, Yizhou Chen, Reece Keller, Xaq Pitkow, Cristopher M. Niell, Andreas S. Tolias, Mackenzie W. Mathis
July, 2026
Abstract
This study examines how mice adapt active visual sensing behavior under changing levels of visual uncertainty and different task demands. The authors show that animals dynamically tune sensing strategies as environmental evidence and behavioral goals change, supporting a normative view in which active sensing balances information gain and task performance.
Publication
Current Biology
Doctoral Researcher
AI for Science • Representation Learning • Time-Series Modeling.
Graphical abstract