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SUMMARY:Control of entropy in internal models - Jill O'Reilly\, University
  of Oxford
DTSTART:20160509T131500Z
DTEND:20160509T141500Z
UID:TALK65612@talks.cam.ac.uk
CONTACT:Paula Kaanders
DESCRIPTION:Observers constantly build and update internal models of their
  environment\, which are used to guide action. One challenge faced by thes
 e observers is to balance the need to construct stable models\, based on a
  long history with data\, against the need to be adaptable to possible cha
 nges in the environment. The latter is particularly relevant when the obse
 rver is actively exploring its environment. Since it is the Marr Club\, th
 is talk will discuss situations in which there is a need to maintain flexi
 bility in internal models (Computational Theory)\, how this flexibility ca
 n be expressed mathematically (algorithm) and possible neural mechanisms (
 implementation) using data from human neuroimaging and behaviour in learni
 ng tasks.
LOCATION:Kenneth Craik Room\, Craik Marshall Building\, Downing Site\, Cam
 bridge
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