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Author Notes:

Peter D. Balsam, Email: pbalsam@barnard.edu

A.K., P.B., A.A., and E.H.S. designed the experiments. A.K. performed surgeries. A.K., V.W., and N.J. collected the data. A.K., C.R.G. P.B., and E.H.S. analyzed the data and wrote the paper.

We thank P. Dayan and J. Horvitz for helpful discussion and A.A., Michael Duncan, and Maxim Zybin for technical assistance. This work was supported by The National Institute on Mental Health (MHMH068073) and the Brain and Behavior Research Foundation (NARSAD Young investigator grant to A.K.).

The authors declare no competing interests.

Subjects:

Keywords:

  • Operant learning
  • Reward

Dopamine encodes real-time reward availability and transitions between reward availability states on different timescales

Tools:

Journal Title:

Nature Communications

Volume:

Volume 13

Publisher:

Type of Work:

Article | Final Publisher PDF

Abstract:

Optimal behavior requires interpreting environmental cues that indicate when to perform actions. Dopamine is important for learning about reward-predicting events, but its role in adapting to inhibitory cues is unclear. Here we show that when mice can earn rewards in the absence but not presence of an auditory cue, dopamine level in the ventral striatum accurately reflects reward availability in real-time over a sustained period (80 s). In addition, unpredictable transitions between different states of reward availability are accompanied by rapid (~1–2 s) dopamine transients that deflect negatively at the onset and positively at the offset of the cue. This Dopamine encoding of reward availability and transitions between reward availability states is not dependent on reward or activity evoked dopamine release, appears before mice learn the task and is sensitive to motivational state. Our findings are consistent across different techniques including electrochemical recordings and fiber photometry with genetically encoded optical sensors for calcium and dopamine.

Copyright information:

© The Author(s) 2022

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/rdf).
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