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Dopaminergic action prediction errors serve as a value-free teaching signal

Author

Listed:
  • Francesca Greenstreet

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Hernando Martinez Vergara

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London
    Institut d′Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS))

  • Yvonne Johansson

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Sthitapranjya Pati

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Laura Schwarz

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Stephen C. Lenzi

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Jesse P. Geerts

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London
    Imperial College London)

  • Matthew Wisdom

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Alina Gubanova

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Lars B. Rollik

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Jasvin Kaur

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Theodore Moskovitz

    (University College London)

  • Joseph Cohen

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Emmett Thompson

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Troy W. Margrie

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

  • Claudia Clopath

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London
    Imperial College London)

  • Marcus Stephenson-Jones

    (Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London)

Abstract

Choice behaviour of animals is characterized by two main tendencies: taking actions that led to rewards and repeating past actions1,2. 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 associations3–6. 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.

Suggested Citation

  • Francesca Greenstreet & Hernando Martinez Vergara & Yvonne Johansson & Sthitapranjya Pati & Laura Schwarz & Stephen C. Lenzi & Jesse P. Geerts & Matthew Wisdom & Alina Gubanova & Lars B. Rollik & Jasv, 2025. "Dopaminergic action prediction errors serve as a value-free teaching signal," Nature, Nature, vol. 643(8074), pages 1333-1342, July.
  • Handle: RePEc:nat:nature:v:643:y:2025:i:8074:d:10.1038_s41586-025-09008-9
    DOI: 10.1038/s41586-025-09008-9
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