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| Research article summary (published 14 Aug 2009): |
Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning.
Full Abstract
Individual behavioral performance during learning is known to be affected by modulatory factors, such as stress and motivation, and by genetic predispositions that influence sensitivity to these factors. Despite numerous studies, no integrative framework is available that could predict how a given animal would perform a certain learning task in a realistic situation. We found that a simple reinforcement learning model can predict mouse behavior in a hole-box conditioning task if model metaparameters are dynamically controlled on the basis of the mouse's genotype and phenotype, stress conditions, recent performance feedback and pharmacological manipulations of adrenergic alpha-2 receptors. We find that stress and motivation affect behavioral performance by altering the exploration-exploitation balance in a genotype-dependent manner. Our results also provide computational insights into how an inverted U-shape relation between stress/arousal/norepinephrine levels and behavioral performance could be explained through changes in task performance accuracy and future reward discounting.
Author information
Author/s: Luksys, Gediminas (G); Gerstner, Wulfram (W); Sandi, Carmen (C);
Affiliation: Laboratory of Computational Neuroscience, Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. eurogedi(-atsign-)hotmail.com
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal: Nature neuroscience (Nat Neurosci), published in United States. (Language: eng)
Reference: 2009-Sep; vol 12 (issue 9) : pp 1180-6
Dates: Created 2009/08/27; Completed 2009/09/23;
PMID: 19684590, status: MEDLINE (last retrieval date: 9/23/2009, IMS Date: )
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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