Metalearning and neuromodulation.

by: K Doya

Neural Netw, Vol. 15, No. 4-6. (l 2002), pp. 495-506.

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acetylcholine, dopamine, neuromodulation, noradrenaline, reinforcement-learning, serotonin

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.

@article{citeulike:1444549, 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.}, address = {ATR Human Information Science Laboratories, CREST, Japan Science and Technology Corporation, Kyoto. doya@atr.co.jp}, author = {Doya, K. }, citeulike-article-id = {1444549}, issn = {0893-6080}, journal = {Neural Netw}, keywords = {acetylcholine, dopamine, neuromodulation, noradrenaline, reinforcement-learning, serotonin}, number = {4-6}, pages = {495--506}, posted-at = {2007-07-09 16:45:34}, priority = {0}, title = {Metalearning and neuromodulation.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/12371507}, volume = {15}, year = {2002} }

RIS record

TY - JOUR ID - citeulike:1444549 L3 - citeulike-article-id:1444549 TI - Metalearning and neuromodulation. JF - Neural Netw VL - 15 IS - 4-6 SP - 495 EP - 506 AD - ATR Human Information Science Laboratories, CREST, Japan Science and Technology Corporation, Kyoto. doya@atr.co.jp SN - 0893-6080 N2 - 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. KW - acetylcholine KW - dopamine KW - neuromodulation KW - noradrenaline KW - reinforcement-learning KW - serotonin AU - Doya, K PY - 2002///l UR - http://view.ncbi.nlm.nih.gov/pubmed/12371507 ER -

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