Format

Send to

Choose Destination
See comment in PubMed Commons below
Neural Netw. 2002 Jun-Jul;15(4-6):495-506.

Metalearning and neuromodulation.

Author information

  • 1ATR Human Information Science Laboratories, CREST, Japan Science and Technology Corporation, Kyoto. doya@atr.co.jp

Abstract

This paper presents a computational theory on the roles of the ascending neuromodulatory systems from the viewpoint that they mediate the global signals that regulate the distributed learning mechanisms in the brain. Based on the review of experimental data and theoretical models, it is proposed that dopamine signals the error in reward prediction, serotonin controls the time scale of reward prediction, noradrenaline controls the randomness in action selection, and acetylcholine controls the speed of memory update. The possible interactions between those neuromodulators and the environment are predicted on the basis of computational theory of metalearning.

PMID:
12371507
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Support Center