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SUMMARY:Human action selection under threat: computing adaptive behaviour 
 - Dominik Bach (University College London)
DTSTART:20211105T161500Z
DTEND:20211105T180000Z
UID:TALK163399@talks.cam.ac.uk
CONTACT:Psychology Reception
DESCRIPTION:Behaving appropriately under threat is key to survival. It als
 o poses a range of interesting computational challenges unparalleled in ot
 her domains. A suggested solution to these demands is a computing architec
 ture that relies on a multiplicity of tailored algorithms for specific thr
 eat scenarios. However\, evidence for this suggestion is circumstantial in
  non-humans\, and scarce in humans. In my talk\, I will discuss the method
 ological problem of investigating threat avoidance in humans\, and present
  pharmacological\, clinical lesion\, and neuroimaging data to support the 
 validity of serious computer games as a way forward. Using different games
  that emulate a situation of approaching reward under threat (i.e. risky f
 oraging)\, I triangulate a cognitive-computational algorithm for behaviora
 l control in this scenario. This algorithm appears to be under instrumenta
 l and partly model-based control\, with approximations of different granul
 arity used in parallel. MEG data suggest some ideas about neural implement
 ation.
LOCATION:Zoom meeting
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