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LS
Laura Schwarz
Author with expertise in Neuronal Oscillations in Cortical Networks
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23
h-index:
5
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i10-index:
5
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83
Action prediction error: a value-free dopaminergic teaching signal that drives stable learning
Francesca Greenstreet
et al.
Sep 14, 2022
+14
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Abstract Animals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error (RPE) to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modeling and experiments demonstrate that action prediction errors cannot support reward-guided learning but when paired with the RPE circuity they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning.
Artificial Intelligence
Cognitive Neuroscience
83
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Artificial Intelligence
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