Optic Flow in the Natural Habitats of Zebrafish Supports Spatial Biases in Visual Self-Motion Estimation
Emma Alexander, Lanya T. Cai, Sabrina Fuchs, Tim C. Hladnik, Yue Zhang, Venkatesh Subramanian, Nicholas C. Guilbeault, Chinnian Vijayakumar, Muthukumarasamy Arunachalam, Scott A. Juntti, Tod R. Thiele, Aristides B. Arrenberg, Emily A. Cooper
Abstract: Animals benefit from knowing if and how they are moving. Across the animal kingdom, sensory information in the form of optic flow over the visual field is used to estimate self motion. However, different species exhibit strong spatial biases in how they use optic flow. Here, we show computationally that noisy natural environments favor visual systems that extract spatially-biased samples of optic flow when estimating self motion. The performance associated with these biases, however, depends on interactions between the environment and the animal’s brain and behavior. Using the larval zebrafish as a model, we recorded natural optic flow associated with swimming trajectories in the animal’s habitat with an omnidirectional camera mounted on a mechanical arm. An analysis of these flow fields suggests that lateral regions of the lower visual field are most informative about swimming direction and speed. This pattern is consistent with recent findings that zebrafish optomotor responses are preferentially driven by optic flow in the lateral lower visual field, which we extend with behavioral results from a high-resolution spherical arena. Spatial biases in optic-flow sampling are likely pervasive because they are an effective strategy for determining self motion in noisy natural environments.
Alexander, E., Cai, L.T., Fuchs S., Hladnik, T., Zhang, Y., Subramanian, V., Guilbeault, N., Vijayajumar, C., Arunachalam, M., Juntti, S.A., Thiele, T., Arrenberg, A.B., & Cooper, E.A. (2022) Optic Flow in the Natural Habitats of Zebrafish Supports Spatial Biases in Visual Self-Motion Estimation. Current Biology.