Differences between Neural Activity in Prefrontal Cortex and Striatum during Learning of Novel Abstract Categories

Learning to classify diverse experiences into meaningful groups, like categories, is fundamental to normal cognition. To understand its neural basis, we simultaneously recorded from multiple electrodes in lateral prefrontal cortex and dorsal striatum, two interconnected brain structures critical for...

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Veröffentlicht in:Neuron (Cambridge, Mass.) Mass.), 2011-07, Vol.71 (2), p.243-249
Hauptverfasser: Antzoulatos, Evan G., Miller, Earl K.
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Sprache:eng
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Zusammenfassung:Learning to classify diverse experiences into meaningful groups, like categories, is fundamental to normal cognition. To understand its neural basis, we simultaneously recorded from multiple electrodes in lateral prefrontal cortex and dorsal striatum, two interconnected brain structures critical for learning. Each day, monkeys learned to associate novel abstract, dot-based categories with a right versus left saccade. Early on, when they could acquire specific stimulus-response associations, striatum activity was an earlier predictor of the corresponding saccade. However, as the number of exemplars increased and monkeys had to learn to classify them, PFC activity began to predict the saccade associated with each category before the striatum. While monkeys were categorizing novel exemplars at a high rate, PFC activity was a strong predictor of their corresponding saccade early in the trial before the striatal neurons. These results suggest that striatum plays a greater role in stimulus-response association and PFC in abstraction of categories. [Display omitted] ► Gradually increasing category exemplars leads to abstraction of categories ► Striatum processes single exemplar-response associations ► Prefrontal cortex abstracts categories from diverse exemplars ► Both prefrontal cortex and striatum are involved in steady-state categorization
ISSN:0896-6273
1097-4199
DOI:10.1016/j.neuron.2011.05.040