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From learning to action: the integration of dorsal striatal input and output pathways in instrumental conditioning
Author(s) -
Peak James,
Hart Genevra,
Balleine Bernard W.
Publication year - 2019
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1111/ejn.13964
Subject(s) - neuroscience , striatum , indirect pathway of movement , perseveration , basal ganglia , psychology , dorsum , direct pathway of movement , action (physics) , action selection , ventral striatum , dopamine , biology , cognition , central nervous system , perception , anatomy , physics , quantum mechanics
Considerable evidence suggests that the learning and performance of instrumental actions depend on activity in basal ganglia circuitry; however, these two functions have generally been considered independently. Whereas research investigating the associative mechanisms underlying instrumental conditioning has identified critical cortical and limbic input pathways to the dorsal striatum, the performance of instrumental actions has largely been attributed to activity in the dorsal striatal output pathways, with direct and indirect pathway projection neurons mediating action initiation, perseveration and cessation. Here, we discuss evidence that the dorsal striatal input and basal ganglia output pathways mediate the learning and performance of instrumental actions, respectively, with the dorsal striatum functioning as a transition point. From this perspective, the issue of how multiple striatal inputs are integrated at the level of the dorsal striatum and converted into relatively restricted outputs becomes one of critical significance for understanding how learning is translated into action. So too does the question of how learning signals are modulated by recent experience. We propose that this occurs through recurrent corticostriatothalamic feedback circuits that serve to integrate performance signals by updating ongoing action‐related learning.