An optimal population code for global motion estimation in local direction-selective cells
Miriam Henning · Silies lab, University of Mainz, Germany
Thu, Nov 4, 2021 · 16:00 UTC
Neuronal computations are matched to optimally encode the sensory information that is available and relevant for the animal. However, the physical distribution of sensory information is often shaped by the animal’s own behavior. One prominent example is the encoding of optic flow fields that are generated during self-motion of the animal and will therefore depend on the type of locomotion. How evolution has matched computational resources to the behavioral constraints of an animal is not known. Here we use in vivo two photon imaging to record from a population of >3.500 local-direction selecti