Evidence map›Paper›PMID 30413692›Full record

ArticleNature communications2018

A model of temporal scaling correctly predicts that motor timing improves with speed.

Nicholas F Hardy, Vishwa Goudar, Juan L Romero-Sosa, Dean V Buonomano

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Neural Sequences and the Encoding of Time.Advances in experimental medicine and biology · 2024
    Review
  9. Influences of temporal order in temporal reproduction.Psychonomic bulletin & review · 2023
    Article
  10. Article
  11. The neural bases for timing of durations.Nature reviews. Neuroscience · 2022
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Nicholas F HardyNeuroscience Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0001-7582-9372
Vishwa GoudarDepartments of Neurobiology, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Juan L Romero-SosaDepartments of Neurobiology, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Dean V BuonomanoNeuroscience Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, 90095, USA. dbuono@ucla.edu.

Funding

TIMING AND LEARNING IN IN VITRO CORTICAL NETWORKSR01MH060163 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUONOMANO, DEAN V · 2001 to 2019
$5.3M
Training Program in Neural MicrocircuitsT32NS058280 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FELDMAN, JACK L · 2007 to 2017
$2.4M
CRCNS: Network mechanisms of the learning and encoding of timed motor responsesR01NS100050 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUONOMANO, DEAN V, MASMANIDIS, SOTIRIS · 2016 to 2020
$1.5M
NIMH NIH HHS R01 MH060163NINDS NIH HHS R01 NS100050NINDS NIH HHS T32 NS058280
6 · The paper itself

Abstract

Timing is fundamental to complex motor behaviors: from tying a knot to playing the piano. A general feature of motor timing is temporal scaling: the ability to produce motor patterns at different speeds. One theory of temporal processing proposes that the brain encodes time in dynamic patterns of neural activity (population clocks), here we first examine whether recurrent neural network (RNN) models can account for temporal scaling. Appropriately trained RNNs exhibit temporal scaling over a range similar to that of humans and capture a signature of motor timing, Weber's law, but predict that temporal precision improves at faster speeds. Human psychophysics experiments confirm this prediction: the variability of responses in absolute time are lower at faster speeds. These results establish that RNNs can account for temporal scaling and suggest a novel psychophysical principle: the Weber-Speed effect.

Indexed as

Models, BiologicalAdolescentHumansMotor ActivityNeural Networks, ComputerTime FactorsYoung Adult

Identifiers

PMID30413692
PMCPMC6226482

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.