Neural mechanisms to incorporate visual counterevidence in self-movement estimation.

ABSTRACT: In selecting appropriate behaviors, animals should weigh sensory evidence both for and against specific beliefs about the world. For instance, animals measure optic flow to estimate and control their own rotation. However, existing models of flow detection can be spuriously triggered by visual motion created by objects moving in the world. Here, we show that stationary patterns on the retina, which constitute evidence against observer rotation, suppress inappropriate stabilizing rotational behavior in the fruit fly Drosophila. In silico experiments show that artificial neural networks (ANNs) that are optimized to distinguish observer movement from external object motion similarly detect stationarity and incorporate negative evidence. Employing neural measurements and genetic manipulations,

SUBMITTER: Tanaka R 

PROVIDER: S-EPMC10848174 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature