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SUMMARY:Interoceptive Self-Inference: An Embodied Approach to Computationa
 l Psychiatry - Dr Micah Allen\, Associate Professor\, Aarhus Institute of 
 Advanced Studies\, Aarhus University\, and Department of Psychiatry\, Univ
 ersity of Cambridge
DTSTART:20191128T123000Z
DTEND:20191128T133000Z
UID:TALK131737@talks.cam.ac.uk
CONTACT:Dr Muzaffer Kaser
DESCRIPTION:Our ability to learn from an ever-changing\, volatile world is
 \nessential. Convergent evidence suggests that deficits in the ability\nto
  update beliefs in the face of such uncertainty may underpin a\nvariety of
  psychiatric illnesses. In parallel\, we know that many such\ndisorders ar
 e accompanied by profound somatic and visceral\ndisruptions\, and these ar
 e in turn underpinned by the very same neural\nmachinery which encodes dec
 ision uncertainty. Here\, I will present\nevidence that metacognitive awar
 eness of uncertainty is biased by\nvisceral arousal. On the basis of these
  findings\, we recently proposed\na new computational model of "interocept
 ive self-inference"\, in which\nthe brain samples the volatility of viscer
 al rhythms to predict future\ndecision uncertainty. On this basis\, we arg
 ue that disordered\ninteroceptive beliefs and/or visceral sensation can bo
 th act to\nproduce pervasive decision biases such as those which character
 ize the\nmajor mood and neurodevelopmental disorders.
LOCATION:Seminar Room\, Herchel Smith Building\, Forvie Site.
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