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A predictive reinforcement model of dopamine neurons for learning approach behavior

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Publication:1302318
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DOI10.1023/A:1008862904946zbMath0927.92004DBLPjournals/jcns/Contreras-VidalS99WikidataQ48163227 ScholiaQ48163227MaRDI QIDQ1302318

Wolfram Schultz, José Luis Contreras-Vidal

Publication date: 16 December 1999

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)


zbMATH Keywords

neural networkreinforcement learningdopamineprefrontal cortex activity


Mathematics Subject Classification ID

Neural biology (92C20)


Related Items (5)

How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades ⋮ A possible correlation between the basal ganglia motor function and the inverse kinematics calculation ⋮ What do the basal ganglia do? A modeling perspective ⋮ Role of CAMKII in reinforcement learning: a computational model of glutamate and dopamine signaling pathways ⋮ Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia


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