کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4334261 | 1294928 | 2011 | 6 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Multiple representations and algorithms for reinforcement learning in the cortico-basal ganglia circuit Multiple representations and algorithms for reinforcement learning in the cortico-basal ganglia circuit](/preview/png/4334261.png)
Accumulating evidence shows that the neural network of the cerebral cortex and the basal ganglia is critically involved in reinforcement learning. Recent studies found functional heterogeneity within the cortico-basal ganglia circuit, especially in its ventromedial to dorsolateral axis. Here we review computational issues in reinforcement learning and propose a working hypothesis on how multiple reinforcement learning algorithms are implemented in the cortico-basal ganglia circuit using different representations of states, values, and actions.
► We review computational issues and possible algorithms for decision making.
► We review recent findings on the neural correlates of the variables in those algorithms.
► Then we propose a hypothesis about parallel and hierarchical modules in the striatum.
Journal: Current Opinion in Neurobiology - Volume 21, Issue 3, June 2011, Pages 368–373