Parsing reward.

Full Abstract

Advances in neurobiology permit neuroscientists to manipulate specific brain molecules, neurons and systems. This has lead to major advances in the neuroscience of reward. Here, it is argued that further advances will require equal sophistication in parsing reward into its specific psychological components:
(1) learning (including explicit and implicit knowledge produced by associative conditioning and cognitive processes); (2) affect or emotion (implicit 'liking' and conscious pleasure) and (3) motivation (implicit incentive salience 'wanting' and cognitive incentive goals). The challenge is to identify how different brain circuits mediate different psychological components of reward, and how these components interact.

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Author information

Author/s: Berridge, Kent C (KC); Robinson, Terry E (TE);

Affiliation: Department of Psychology, Biopsychology Program, University of Michigan, Ann Arbor, MI 48109-1109, USA. berridge(-atsign-)umich.edu

Journal and publication information

Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.; Review

Journal: Trends in neurosciences (Trends Neurosci), published in England. (Language: eng)

Reference: 2003-Sep; vol 26 (issue 9) : pp 507-13

Dates: Created 2003/09/01; Completed 2003/10/10; Revised 2006/11/15;

PMID: 12948663, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

Comments and Corrections

ErratumIn: Trends Neurosci. 2003 Nov;26(11):581.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Animals
Emotions - physiology
Humans

Learning - physiology
Motivation
Reward

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