Serotonin neurons modulate learning rate through uncertainty.
Ontology highlight
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 fo
SUBMITTER: Grossman CD
PROVIDER: S-EPMC8825708 | biostudies-literature | 2022 Feb
REPOSITORIES: biostudies-literature
ACCESS DATA