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DTSTART:20170312T070000
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DTSTART:20161106T060000
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DTSTART;TZID=America/Toronto:20171016T113000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-spiking-neural-model-state
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 3323 Waterloo ON N2L 3G1 Canada
SUMMARY:Master's Thesis Presentation: A Spiking Neural Model of State\nTran
 sition Probabilities in Model-based Reinforcement Learning
CLASS:PUBLIC
DESCRIPTION:Speaker: Mariah Shein\, Master's Candidate\n\nThe development o
 f the field of reinforcement learning was based on\npsychological studies 
 of the instrumental conditioning of humans and\nother animals. Recently\, 
 reinforcement learning algorithms have been\napplied to neuroscience to he
 lp characterize neural activity and\nanimal behaviour in instrumental cond
 itioning tasks. A specific\nexample is the hybrid learner developed to mat
 ch human behaviour on a\ntwo-stage decision task. This hybrid learner is c
 omposed of a\nmodel-free and a model-based system.
DTSTAMP:20260314T010657Z
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