| Literature DB >> 17115078 |
Peter Redgrave1, Kevin Gurney.
Abstract
An influential concept in contemporary computational neuroscience is the reward prediction error hypothesis of phasic dopaminergic function. It maintains that midbrain dopaminergic neurons signal the occurrence of unpredicted reward, which is used in appetitive learning to reinforce existing actions that most often lead to reward. However, the availability of limited afferent sensory processing and the precise timing of dopaminergic signals suggest that they might instead have a central role in identifying which aspects of context and behavioural output are crucial in causing unpredicted events.Entities:
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Year: 2006 PMID: 17115078 DOI: 10.1038/nrn2022
Source DB: PubMed Journal: Nat Rev Neurosci ISSN: 1471-003X Impact factor: 34.870