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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

(p.261) 5.5 Neurocomputational Analysis of Dopamine Function
Dopamine Handbook

Daniel Durstewitz

Oxford University Press

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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