To survive in an uncertain and dynamic environment, animals need to integrate the relevant information in their environment. Systems neuroscientists have conventionally simplified and made this problem more tractable by studying trained behaviors where they train animals to integrate sensory evidence. This idealization has allowed neuroscientific investigation into neural mechanisms underlying integration. In my talk, I will present theoretical work showing that integration, as a behavioral computation, can be extended from the realm of trained behaviors to (social) foraging behaviors performed by animals naturally thus bridging a much needed gap between mechanistic models in systems neuroscience and behavioural ecology. This modeling approach opens up the opportunity to quantitatively study neural mechanisms of naturalistic decision making.

This invited talk is hosted by SFB1315 TP PI Livia de Hoz (subproject A09).

Certificate of attendance: Please contact team assistant serenella.brinati.1(at)hu-berlin.de>

Lecture Poster

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