Serotonin neurons modulate learning rate through uncertainty

Jeremiah Cohen, Cooper Grossman & Bilal Bari
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 is 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...
1 citation reported since publication in 2021.
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