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SUMMARY:A decision-theoretic framework for active cognition - Angela J. Yu
 \, UCSD Cognitive Science
DTSTART:20160617T093000Z
DTEND:20160617T103000Z
UID:TALK66610@talks.cam.ac.uk
CONTACT:Prof Máté Lengyel
DESCRIPTION:Perception and cognition are often studied in both empirical a
 nd theoretical research as passive processes.  In more natural settings\, 
 the brain actively controls behavioral interactions with the environment i
 n a dynamic and goal-directed fashion\, such that actions\, and the underl
 ying decision-making processes\, play a critical role in perception and co
 gnition.  Using modern tools from stochastic control theory\, in combinati
 on with more standard Bayesian statistical modeling tools\, our work has s
 hown that many behavioral and neural phenomena can be understood as ration
 al decision-making by the brain at different timescales and levels of abst
 raction.  In this talk\, I will give an overview of our modeling and exper
 imental work that uses decision-theoretic concepts to understand the forma
 l link between neurophysiology and behavior in various aspects of cognitio
 n: perception\, attention\, cognitive control\, and foraging.\n
LOCATION:Cambridge University Engineering Department\, CBL\, BE-438 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
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