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A framework for mesencephalic dopamine systems based on predictive Hebbian learning (1996)

Abstract

We develop a theoretical framework that shows how mesen-cephalic dopamine systems could distribute to their targets a signal that represents information about future expectations. In particular, we show how activity in the cerebral cortex can make predictions about future receipt of reward and how fluc-tuations in the activity levels of neurons in diffuse dopamine systems above and below baseline levels would represent errors in these predictions that are delivered to cortical and subcottical targets. We present a model for how such errors could be constructed in a real brain that is consistent with

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Download	http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.99.5244
Source	http://www.gatsby.ucl.ac.uk/~dayan/papers/mds96.pdf
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Repository	CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type	text
Language	English
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