• Thursday, December 8th 2016 at 15:00 - 16:00 UK (Other timezones)
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Anxiety entails a variety of adaptive behaviours, physiological responses, and feelings that need to be optimized and coordinated in a given situation.  In this presentation, I will recast anxiety as a decision problem and ask, what are algorithms and neural controllers that govern action selection under threat. Non-human animal data tentatively suggest an architecture that relies on tailored algorithms for specific threat scenarios. Virtual reality computer games provide an opportunity to test such a model in humans. I will present the translation of rodent anxiety paradigms to humans, together with pharmacological and fMRI data to support the cross-species validity of this translation. I will then focus on behavioural inhibition (BI), a specific behaviour under AAC and analyse the normativity, algorithmic implementation, and neural control of this behaviour. This framework provides a means to understand symptom generation in anxiety disorders.


Prof. Dominik Bach

Division of Clinical Psychiatry Research, University of Zurich, Switzerland

Wellcome Trust Centre for Neuroimaging, University College London, UK

Dominik Bach – A decision-theoretic view on anxiety behaviour

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