Serotonin neurons modulate learning rate through uncertainty.
Autor: | Grossman CD; The Solomon H. Snyder Department of Neuroscience, Brain Science Institute, Kavli Neuroscience Discovery Institute, The Johns Hopkins University School of Medicine, 725 N. Wolfe Street, Baltimore, MD 21205, USA., Bari BA; The Solomon H. Snyder Department of Neuroscience, Brain Science Institute, Kavli Neuroscience Discovery Institute, The Johns Hopkins University School of Medicine, 725 N. Wolfe Street, Baltimore, MD 21205, USA., Cohen JY; The Solomon H. Snyder Department of Neuroscience, Brain Science Institute, Kavli Neuroscience Discovery Institute, The Johns Hopkins University School of Medicine, 725 N. Wolfe Street, Baltimore, MD 21205, USA. Electronic address: jeremiah.cohen@jhmi.edu. |
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Jazyk: | angličtina |
Zdroj: | Current biology : CB [Curr Biol] 2022 Feb 07; Vol. 32 (3), pp. 586-599.e7. Date of Electronic Publication: 2021 Dec 21. |
DOI: | 10.1016/j.cub.2021.12.006 |
Abstrakt: | Regulating how fast to learn is critical for flexible behavior. Learning about the consequences of actions should be slow in stable environments, but accelerate when that environment changes. Recognizing stability and detecting change are difficult in environments with noisy relationships between actions and outcomes. Under these conditions, theories propose that uncertainty can be used to modulate learning rates ("meta-learning"). We show that mice behaving in a dynamic foraging task exhibit choice behavior that varied as a function of two forms of uncertainty estimated from a meta-learning model. The activity of dorsal raphe serotonin neurons tracked both types of uncertainty in the foraging task as well as in a dynamic Pavlovian task. Reversible inhibition of serotonin neurons in the foraging task reproduced changes in learning predicted by a simulated lesion of meta-learning in the model. We thus provide a quantitative link between serotonin neuron activity, learning, and decision making. Competing Interests: Declaration of interests The authors declare no competing interests. (Copyright © 2021 Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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