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Journal of Neuroscience, Vol 16, 1936-1947, Copyright © 1996 by Society for Neuroscience
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
PR Montague, P Dayan and TJ Sejnowski
Division of Neuroscience, Baylor College of Medicine, Houston, Texas 77030, USA.
We develop a theoretical framework that shows how mesencephalic 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 fluctuations 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 subcortical targets. We
present a model for how such errors could be constructed in a real brain
that is consistent with physiological results for a subset of dopaminergic
neurons located in the ventral tegmental area and surrounding dopaminergic
neurons. The theory also makes testable predictions about human choice
behavior on a simple decision-making task. Furthermore, we show that,
through a simple influence on synaptic plasticity, fluctuations in dopamine
release can act to change the predictions in an appropriate manner.
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