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UID:054efb77-c842-4ad4-b992-84bbc89c8cb1@eventxplore
DTSTAMP:20260928T200011Z
DTSTART:20261012T230000Z
DTEND:20261013T001500Z
SUMMARY:Naoshige Uchida | The core neural circuit for learning to predict
DESCRIPTION:The core neural circuit for learning to predictAbstract The ability to predict future outcomes is a fundamental basis of flexible behavior. In the brain\, the neuromodulator dopamine is thought to play a central role in learning to predict future rewards. A large body of evidence suggests that dopamine supports this predictive learning by signaling a moment-by-moment prediction error\, called a temporal difference (TD) error\, analogous to those used in reinforcement learning algorithms. However\, whether reinforcement learning algorithms are truly implemented in the brain\, and if so how\, remains 
LOCATION:Stanford Neurosciences Building | Gunn Rotunda (E241)
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