RESEARCH ARTICLE Variance adaptation in navigational decision making Ruben Gepner1, Jason Wolk1, Digvijay Shivaji Wadekar1, Sophie Dvali1, Marc Gershow1,2,3* 1Department of Physics, New York University, New York, United States; 2Center for Neural Science, New York University, New York, United States; 3Neuroscience Institute, New York University, New York, United States Abstract Sensory systems relay information about the world to the brain, which enacts behaviors through motor outputs. To maximize information transmission, sensory systems discard redundant information through adaptation to the mean and variance of the environment. The behavioral consequences of sensory adaptation to environmental variance have been largely unexplored. Here, we study how larval fruit flies adapt sensory-motor computations underlying navigation to changes in the variance of visual and olfactory inputs. We show that variance adaptation can be characterized by rescaling of the sensory input and that for both visual and olfactory inputs, the temporal dynamics of adaptation are consistent with optimal variance estimation. In multisensory contexts, larvae adapt independently to variance in each sense, and portions of the navigational pathway encoding mixed odor and light signals are also capable of variance adaptation. Our results suggest multiplication as a mechanism for odor-light integration. DOI: https://doi.org/10.7554/eLife.37945.001 Introduction The world is not fixed but instead varies dramatically on multiple time scales, for example from cloudy to sunny, day to night, or summer to winter; and contexts: from sun to shade, or burrowing *For correspondence:
[email protected] to walking. Nervous systems must respond appropriately in varied environments while obeying bio- physical constraints and minimizing energy expenditure (Niven and Laughlin, 2008).