Evidence map›Paper›PMID 31591558›Full record

ArticleNature neuroscience2019

Internal models of sensorimotor integration regulate cortical dynamics.

Seth W Egger, Evan D Remington, Chia-Jung Chang, Mehrdad Jazayeri

Abstract read
In one paragraph

Article in Nature neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Early emergence of perceptual biases in the secondary somatosensory cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Review
  8. Neural Signatures of Cognitive Control Predict Future Adolescent Substance Use Onset and Frequency.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Representation of a perceptual bias in the prefrontal cortex.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Estimating Time and Rhythm by Predicting External Stimuli.Advances in experimental medicine and biology · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Seth W EggerMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-3688-7099
Evan D RemingtonMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Chia-Jung ChangDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Mehrdad JazayeriMcGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA. mjaz@mit.edu.ORCID http://orcid.org/0000-0002-9764-6961

Funding

Neural mechanisms of timing in the oculomotor systemR01NS078127 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JAZAYERI, MEHRDAD · 2014 to 2018
$1.7M
CRCNS: US-French Research Proposal: Principles of Inference through Neural Dynamics R01MH122025 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI JAZAYERI, MEHRDAD · 2019 to 2023
$1.2M
NIMH NIH HHS R01 MH122025NINDS NIH HHS R01 NS078127
6 · The paper itself

Abstract

Sensorimotor control during overt movements is characterized in terms of three building blocks: a controller, a simulator and a state estimator. We asked whether the same framework could explain the control of internal states in the absence of movements. Recently, it was shown that the brain controls the timing of future movements by adjusting an internal speed command. We trained monkeys in a novel task in which the speed command had to be dynamically controlled based on the timing of a sequence of flashes. Recordings from the frontal cortex provided evidence that the brain updates the internal speed command after each flash based on the error between the timing of the flash and the anticipated timing of the flash derived from a simulated motor plan. These findings suggest that cognitive control of internal states may be understood in terms of the same computational principles as motor control.

Indexed as

Models, NeurologicalAnimalsFrontal LobeMacaca mulattaMaleMovementPsychomotor PerformanceTime Perception

Identifiers

PMID31591558
PMCPMC6903408

What OpenQuestion holds

Textmetadata
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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.