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SUMMARY:Study of sensory &quot\;prior distributions&quot\; in rodent model
 s of working memory and decision making - Athina Akrami\, Sainsbury Wellco
 me Centre\, UCL
DTSTART:20200203T163000Z
DTEND:20200203T180000Z
UID:TALK138349@talks.cam.ac.uk
CONTACT:Marisa Parsonage
DESCRIPTION:The world around us is complex\, but at the same time full of 
 meaningful regularities. We can detect\, learn and exploit these regularit
 ies automatically in an unsupervised manner i.e. without any direct instru
 ction or explicit reward. For example\, we effortlessly estimate the avera
 ge tallness of people in a room\, or the boundaries between words in a lan
 guage. These regularities and prior knowledge\, once learned\, can affect 
 the way we acquire and interpret new information to build and update our i
 nternal model of the world for future decision-making processes. Despite t
 he ubiquity of passively learning from the structured information in the e
 nvironment\, the mechanisms that support learning from real-world experien
 ce are largely unknown. By combing sophisticated cognitive tasks in human 
 and rats\, neuronal measurements and perturbations in rodent and network m
 odelling\, we aim to build a multi-level description of how sensory histor
 y is utilised in inferring regularities in temporally extended tasks. In t
 his talk\, I will specifically focus on a rat model to study building and 
 utilising prior knowledge in working memory behaviours.
LOCATION:Hodgkin Huxley Seminar Room\, Physiology Building\, Downing Site
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