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- W4225773355 endingPage "599.e7" @default.
- W4225773355 startingPage "586" @default.
- W4225773355 abstract "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." @default.
- W4225773355 created "2022-05-05" @default.
- W4225773355 creator A5005224008 @default.
- W4225773355 creator A5021371430 @default.
- W4225773355 creator A5056855383 @default.
- W4225773355 date "2022-02-01" @default.
- W4225773355 modified "2023-10-14" @default.
- W4225773355 title "Serotonin neurons modulate learning rate through uncertainty" @default.
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