Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Abstract

Behaving appropriately under threat is key to survival. In my talk, I will provide a decision-theoretic view on this action selection problem and ask, what are computational algorithms and neural controllers that underlie this behavior. Non-human animal data tentatively suggest a specific architecture that relies on tailored algorithms for specific threat scenarios. To make this plausible in humans, I build on fear-conditioning paradigms, as well as on a translation of approach-avoidance conflict (AAC), a classical rodent anxiety model, to human computer games. I will analyze possible cognitive-computational algorithms for behavioral control and learning in these tasks, and their neural implementation.