Evidence map›Paper›PMID 30864882›Full record

ArticleJournal of neurophysiology2019

Adapting the flow of time with dopamine.

John G Mikhael, Samuel J Gershman

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Effort, timing and choice: a refined rodent effort choice task with excellent sensitivity to dopamine modulators.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  2. Article
  3. Midbrain Dopamine Warps Subjective Time via Threshold Setting But Not Clock Speed.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Decreased Ventral Tegmental Area CB1R Signaling Reduces Sign Tracking and Shifts Cue-Outcome Dynamics in Rat Nucleus Accumbens.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  5. The neural bases for timing of durations.Nature reviews. Neuroscience · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Dopamine and the interdependency of time perception and reward.Neuroscience and biobehavioral reviews · 2021
    Review
  14. Awareness of errors and feedback in human time estimation.Learning & memory (Cold Spring Harbor, N.Y.) · 2021
    Article
  15. Rational inattention and tonic dopamine.PLoS computational biology · 2021
    Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

John G MikhaelProgram in Neuroscience and MD-PhD Program, Harvard Medical School , Boston, Massachusetts.ORCID 0000-0002-7622-716X
Samuel J GershmanCenter for Brain Science and Department of Psychology, Harvard University , Cambridge, Massachusetts.

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
CRCNS: Representational foundations of adaptive behavior in natural and artificial R01MH109177 · NIMH · PRINCETON UNIVERSITY · PI DAW, NATHANIEL DOUGLASS · 2015 to 2017
$1.2M
NIGMS NIH HHS T32 GM007753NIMH NIH HHS R01 MH109177
6 · The paper itself

Abstract

The modulation of interval timing by dopamine (DA) has been well established over decades of research. The nature of this modulation, however, has remained controversial: Although the pharmacological evidence has largely suggested that time intervals are overestimated with higher DA levels, more recent optogenetic work has shown the opposite effect. In addition, a large body of work has asserted DA's role as a "reward prediction error" (RPE), or a teaching signal that allows the basal ganglia to learn to predict future rewards in reinforcement learning tasks. Whether these two seemingly disparate accounts of DA may be related has remained an open question. By taking a reinforcement learning-based approach to interval timing, we show here that the RPE interpretation of DA naturally extends to its role as a modulator of timekeeping and furthermore that this view reconciles the seemingly conflicting observations. We derive a biologically plausible, DA-dependent plasticity rule that can modulate the rate of timekeeping in either direction and whose effect depends on the timing of the DA signal itself. This bidirectional update rule can account for the results from pharmacology and optogenetics as well as the behavioral effects of reward rate on interval timing and the temporal selectivity of striatal neurons. Hence, by adopting a single RPE interpretation of DA, our results take a step toward unifying computational theories of reinforcement learning and interval timing.

Indexed as

Models, NeurologicalReaction TimeRewardAnimalsBrainDopamineMiceNeuronal PlasticityTime PerceptionDopaminedopamineinterval timingreinforcement learningreward prediction error

Identifiers

PMID30864882
PMCPMC6589719

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.