Reward, motivation, and reinforcement learning.

by: P Dayan, BW Balleine

Neuron, Vol. 36, No. 2. (10 October 2002), pp. 285-298.

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Abstract

There is substantial evidence that dopamine is involved in reward learning and appetitive conditioning. However, the major reinforcement learning-based theoretical models of classical conditioning (crudely, prediction learning) are actually based on rules designed to explain instrumental conditioning (action learning). Extensive anatomical, pharmacological, and psychological data, particularly concerning the impact of motivational manipulations, show that these models are unreasonable. We review the data and consider the involvement of a rich collection of different neural systems in various aspects of these forms of conditioning. Dopamine plays a pivotal, but complicated, role.

@article{citeulike:546145, abstract = {There is substantial evidence that dopamine is involved in reward learning and appetitive conditioning. However, the major reinforcement learning-based theoretical models of classical conditioning (crudely, prediction learning) are actually based on rules designed to explain instrumental conditioning (action learning). Extensive anatomical, pharmacological, and psychological data, particularly concerning the impact of motivational manipulations, show that these models are unreasonable. We review the data and consider the involvement of a rich collection of different neural systems in various aspects of these forms of conditioning. Dopamine plays a pivotal, but complicated, role.}, address = {Gatsby Computational Neuroscience Unit, University College London, 17 Queen Square, WC1N 3AR, London, United Kingdom. dayan@gatsby.ucl.ac.uk}, author = {Dayan, P. and Balleine, B. W. }, citeulike-article-id = {546145}, issn = {0896-6273}, journal = {Neuron}, keywords = {learning, motivation, neuroeconomics, reinforcement, reward}, month = {October}, number = {2}, pages = {285--298}, posted-at = {2006-03-10 14:10:36}, priority = {3}, title = {Reward, motivation, and reinforcement learning.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/12383782}, volume = {36}, year = {2002} }

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TY - JOUR ID - citeulike:546145 L3 - citeulike-article-id:546145 TI - Reward, motivation, and reinforcement learning. JF - Neuron VL - 36 IS - 2 SP - 285 EP - 298 AD - Gatsby Computational Neuroscience Unit, University College London, 17 Queen Square, WC1N 3AR, London, United Kingdom. dayan@gatsby.ucl.ac.uk SN - 0896-6273 N2 - There is substantial evidence that dopamine is involved in reward learning and appetitive conditioning. However, the major reinforcement learning-based theoretical models of classical conditioning (crudely, prediction learning) are actually based on rules designed to explain instrumental conditioning (action learning). Extensive anatomical, pharmacological, and psychological data, particularly concerning the impact of motivational manipulations, show that these models are unreasonable. We review the data and consider the involvement of a rich collection of different neural systems in various aspects of these forms of conditioning. Dopamine plays a pivotal, but complicated, role. KW - learning KW - motivation KW - neuroeconomics KW - reinforcement KW - reward AU - Dayan, P AU - Balleine, BW PY - 2002/10/10/ UR - http://view.ncbi.nlm.nih.gov/pubmed/12383782 ER -

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