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Discrete coding of stimulus value, reward expectation, and reward prediction error in the dorsal striatum
Author(s) -
Kei Oyama,
Yukina Tateyama,
István Hernádi,
Philippe N. Tobler,
Toshio Iijima,
KenIchiro Tsutsui
Publication year - 2015
Publication title -
journal of neurophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 245
eISSN - 1522-1598
pISSN - 0022-3077
DOI - 10.1152/jn.00097.2015
Subject(s) - striatum , neuroscience , ventral striatum , stimulus (psychology) , psychology , reward system , dorsum , probabilistic logic , brain stimulation reward , sensory system , mean squared prediction error , cognitive psychology , dopamine , computer science , nucleus accumbens , biology , artificial intelligence , machine learning , anatomy
To investigate how the striatum integrates sensory information with reward information for behavioral guidance, we recorded single-unit activity in the dorsal striatum of head-fixed rats participating in a probabilistic Pavlovian conditioning task with auditory conditioned stimuli (CSs) in which reward probability was fixed for each CS but parametrically varied across CSs. We found that the activity of many neurons was linearly correlated with the reward probability indicated by the CSs. The recorded neurons could be classified according to their firing patterns into functional subtypes coding reward probability in different forms such as stimulus value, reward expectation, and reward prediction error. These results suggest that several functional subgroups of dorsal striatal neurons represent different kinds of information formed through extensive prior exposure to CS-reward contingencies.

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