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Dopamine Handbook$
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Leslie Iversen, Susan Iversen, Stephen Dunnett, and Anders Bjorklund

Print publication date: 2009

Print ISBN-13: 9780195373035

Published to Oxford Scholarship Online: February 2010

DOI: 10.1093/acprof:oso/9780195373035.001.0001

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Neurocomputational Analysis of Dopamine Function

Neurocomputational Analysis of Dopamine Function

Chapter:
(p.261) 5.5 Neurocomputational Analysis of Dopamine Function
Source:
Dopamine Handbook
Author(s):

Daniel Durstewitz

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195373035.003.0018

Current computational models of dopamine (DA) modulation have worked either from a more abstract neuroalgorithmic level, starting with specific assumptions about DA's computational role and then working out its implications at a higher cognitive level, or have used a more biophysical/physiological implementation to unravel the dynamic and functional consequences of DA's effects on voltage-gated and synaptic ion channels. This chapter focuses on the latter, and in addition will specifically review models of DA-innervated target regions rather than models of ventral tegmental area/substantia nigra (VTA/SN) DA neurons themselves. It begins with a brief discussion of how DA may change the input/output functions of single striatal and cortical neuron. It considers the network level and the potential computational role of DA in higher cognitive functions, and then reviews DA-based models of reinforcement learning.

Keywords:   dopamine modulation, dopamine function, neurons, cognitive function, reinforcement learning

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