Universität Bonn

Hertz-Chair for Artificial Intelligence and Neurosciene


A cognitive-computational model of threat avoidance

Learning to avoid threat and to seek safety is a fundamental psychological function. It allows us to flexibly adapt to ever-changing environments. This learning process is also leveraged in exposure therapy, a common clinical intervention for anxiety disorders. Avoiding threat requires predicting it – but neurobiological data suggest there are at least two partly independent learning systems for threat prediction and threat avoidance. In this project, we will develop a computational learning model that encompasses both threat prediction and avoidance, using a virtual reality approach with combined threat prediction and threat avoidance measurement.

Find out more about this ESRC-funded project at UCL here.

© D. Bach


Funded by the Economic and Social Sciences Research Council, UK, under grant agreement ES/W000776/1.

Eine Wissenschaftlerin und ein Wissenschaftler arbeiten hinter einer Glasfassade und mischen Chemikalien mit Großgeräten.

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