A spiking neural program for sensorimotor control during foraging in flying insects.

ABSTRACT: Foraging is a vital behavioral task for living organisms. Behavioral strategies and abstract mathematical models thereof have been described in detail for various species. To explore the link between underlying neural circuits and computational principles, we present how a biologically detailed neural circuit model of the insect mushroom body implements sensory processing, learning, and motor control. We focus on cast and surge strategies employed by flying insects when foraging within turbulent odor plumes. Using a spike-based plasticity rule, the model rapidly learns to associate individual olfactory sensory cues paired with food in a classical conditioning paradigm. We show that, without retraining, the system dynamically recalls memories to detect relevant cues in complex sensory scene

SUBMITTER: Rapp H 

PROVIDER: S-EPMC7668073 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature