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Research article summary:
Reward, motivation, and reinforcement learning.
Abstract Extract:
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 ... (Full abstract text below) Published 2002Oct
in Journal: Neuron
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. Neuron.
2002 Oct;36(2):285-98
Reward, motivation, and reinforcement learning.
Dayan P, Balleine BW
Gatsby Computational Neuroscience Unit, University College London, 17 Queen Square, WC1N 3AR, London, United Kingdom. dayan@gatsby.ucl.ac.uk
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.
PMID : 12383782 [PubMed - Indexed for MEDLINE]
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Full Author Information
| First Name | LastName | Initials |
| Peter | Dayan | P |
| Bernard W | Balleine | BW |
Affiliation: Gatsby Computational Neuroscience Unit, University College London, 17 Queen Square, WC1N 3AR, London, United Kingdom. dayan@gatsby.ucl.ac.uk
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