Greenstreet, Francesca;
Vergara, Hernando Martinez;
Johansson, Yvonne;
Pati, Sthitapranjya;
Schwarz, Laura;
Lenzi, Stephen C;
Geerts, Jesse P;
... Stephenson-Jones, Marcus; + view all
(2025)
Dopaminergic action prediction errors serve as a value-free teaching signal.
Nature
, 643
(8074)
pp. 1333-1342.
10.1038/s41586-025-09008-9.
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Abstract
Choice behaviour of animals is characterized by two main tendencies: taking actions that led to rewards and repeating past actions<sup>1,2</sup>. Theory suggests that these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations<sup>3, 4, 5–6</sup>. 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 modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning, but when paired with the reward prediction error circuitry 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, each reinforcing different types of association in different striatal areas.
| Type: | Article |
|---|---|
| Title: | Dopaminergic action prediction errors serve as a value-free teaching signal |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s41586-025-09008-9 |
| Publisher version: | https://doi.org/10.1038/s41586-025-09008-9 |
| Language: | English |
| Additional information: | © 2025 Springer Nature. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Learning algorithms, Neural circuits |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > The Sainsbury Wellcome Centre |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10216059 |
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