Serotonin and the Evaluation of Future Rewards: Theory, Experiments, and Possible Neural Mechanisms.
From: Department of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, 90089, USA. schweigh@usc.edu
Annals of the New York Academy of Sciences
- Publish Date: May 2007
- ISSN: 0077-8923
- Volume: 1104
- Issue:
- Pages: 289-300
- Medium: Print
- Language: English
- Citation (JAMA): Schweighofer Nicolas, Tanaka Saori C, Doya Kenji, et al. Serotonin and the Evaluation of Future Rewards: Theory, Experiments, and Possible Neural Mechanisms.. Ann. N. Y. Acad. Sci. May 2007;1104:289-300
Abstract
The ability to select an action by considering both delays and amount of reward outcome is critical for survival and well-being of animals and humans. Previous animal experiments suggest a role of serotonin in action choice by modulating the evaluation of delayed rewards. It remains unclear, however, through which neural circuits, and through what receptors and intracellular mechanisms, serotonin affects the evaluation of delayed rewards. Here, we review experimental studies and computational theory of decisions under delayed rewards, and propose that serotonin controls the timescale of reward prediction by regulating neural activity in the basal ganglia.
Mesh Headings (Keywords): Animals, Behavior, Choice Behavior, Humans, Impulsive Behavior, Learning, Models, Anatomic, Models, Neurological, Models, Statistical, Neurons, Reinforcement (Psychology), Reward, Serotonin, Serotonin Uptake Inhibitors, Time Factors
Check for Full Text / PubMed Unique Identifier (PMID): 17360806
This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.
Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.
The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.
