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SUMMARY:Dopamine as prediction error in active inference - Rafal Bogacz (O
 xford)
DTSTART:20191010T103000Z
DTEND:20191010T113000Z
UID:TALK132016@talks.cam.ac.uk
CONTACT:Yul Kang
DESCRIPTION:Dopaminergic neurons are known to encode reward prediction err
 or\, which according to the reinforcement learning theory\, enables learni
 ng about results of actions. However\, dopaminergic neurons also play an i
 mportant role in action planning\, as evident from movement difficulties i
 n Parkinson’s disease. This talk will propose that a more complete descr
 iption of dopamine function can be obtained by integrating reinforcement l
 earning theory with ideas from active inference. It will suggest that a fr
 action of dopaminergic neurons encodes reward prediction error\, but an ex
 pectation of the reward only arises from formulating a plan to obtain it. 
 During action planning\, these dopaminergic neurons provide feedback on wh
 ether the current motor plan is sufficient to obtain the available reward\
 , and they facilitate action planning until a suitable plan is found. This
  framework accounts for a wide range of experimental data including divers
 ity of dopaminergic responses\, effects of dopamine depletion on behaviour
 \, and it makes experimental predictions. 
LOCATION:CBL Seminar Room (BE4-38\, http://learning.eng.cam.ac.uk/Public/D
 irections)
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