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SUMMARY:Learning in pain: probabilistic inference and (mal)adaptive contro
 l. - Dr Flavia Mancini\, Engineering
DTSTART:20210420T150000Z
DTEND:20210420T160000Z
UID:TALK157060@talks.cam.ac.uk
CONTACT:Dr Dervila Glynn
DESCRIPTION:Theme: *Adaptive Brain Computations*\n\nPain is a major clinic
 al problem affecting 1 in 5 people in the world. There are unresolved ques
 tions that urgently require answers to treat pain effectively\, a crucial 
 one being how the feeling of pain arises from brain activity. Computationa
 l models of pain consider how the brain processes noxious information and 
 allow mapping neural circuits and networks to cognition and behaviour. To 
 date\, they have generally have assumed two largely independent processes:
  perceptual and/or predictive inference\, typically modelled as an approxi
 mate Bayesian process\, and action control\, typically modelled as a reinf
 orcement learning process. However\, inference and control are intertwined
  in complex ways\, challenging the clarity of this distinction. I will dis
 cuss how they may comprise a parallel hierarchical architecture that combi
 nes pain inference\, information-seeking\, and adaptive value-based contro
 l. Finally\, I will discuss whether and how these learning processes might
  contribute to chronic pain.\n\nFlavia Mancini is a neuroscientist leading
  the NoxLab within the Computational and Biological Learning (CBL) researc
 h unit at the Department of Engineering\, University of Cambridge. Flavia 
 combines behavioural\, computational\, and neuroimaging tools to understan
 d pain perception and behaviour in humans. She trained at the University o
 f Milan and University College London. Currently\, she is a MRC Career Dev
 elopment Award fellow.\n\nRegister in advance for this meeting:\nhttps://u
 s02web.zoom.us/meeting/register/tZwtc-ytrDkiEtIAmonfG6-XNR06o_4F9g0i \n\nA
 fter registering\, you will receive a confirmation email containing inform
 ation about joining the meeting.
LOCATION:Register on Zoom - link in abstract
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