Computational roles for dopamine in behavioural control

by: Read P Montague, Steven E Hyman, Jonathan D Cohen

Nature, Vol. 431, No. 7010. (14 October 2004), pp. 760-767.

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Abstract

Neuromodulators such as dopamine have a central role in cognitive disorders. In the past decade, biological findings on dopamine function have been infused with concepts taken from computational theories of reinforcement learning. These more abstract approaches have now been applied to describe the biological algorithms at play in our brains when we form value judgements and make choices. The application of such quantitative models has opened up new fields, ripe for attack by young synthesizers and theoreticians.

@article{citeulike:353537, abstract = {Neuromodulators such as dopamine have a central role in cognitive disorders. In the past decade, biological findings on dopamine function have been infused with concepts taken from computational theories of reinforcement learning. These more abstract approaches have now been applied to describe the biological algorithms at play in our brains when we form value judgements and make choices. The application of such quantitative models has opened up new fields, ripe for attack by young synthesizers and theoreticians.}, author = {Montague, Read P. and Hyman, Steven E. and Cohen, Jonathan D. }, citeulike-article-id = {353537}, doi = {http://dx.doi.org/10.1038/nature03015}, journal = {Nature}, keywords = {action-selection, dopamine, reinforcement-learning, review}, month = {October}, number = {7010}, pages = {760--767}, posted-at = {2007-07-30 10:35:07}, priority = {2}, title = {Computational roles for dopamine in behavioural control}, url = {http://dx.doi.org/10.1038/nature03015}, volume = {431}, year = {2004} }

RIS record

TY - JOUR ID - citeulike:353537 L3 - citeulike-article-id:353537 TI - Computational roles for dopamine in behavioural control JF - Nature VL - 431 IS - 7010 SP - 760 EP - 767 N2 - Neuromodulators such as dopamine have a central role in cognitive disorders. In the past decade, biological findings on dopamine function have been infused with concepts taken from computational theories of reinforcement learning. These more abstract approaches have now been applied to describe the biological algorithms at play in our brains when we form value judgements and make choices. The application of such quantitative models has opened up new fields, ripe for attack by young synthesizers and theoreticians. KW - action-selection KW - dopamine KW - reinforcement-learning KW - review AU - Montague, Read AU - Hyman, Steven AU - Cohen, Jonathan PY - 2004/10/14/ UR - http://dx.doi.org/10.1038/nature03015 ER -

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