Evidence map›Paper›PMID 27790629›Full record

ArticleCurrent opinion in behavioral sciences2016

Neurocomputational Models of Interval and Pattern Timing.

Nicholas F Hardy, Dean V Buonomano

Abstract read
In one paragraph

Article in Current opinion in behavioral sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Time, space, memory and brain-body rhythms.Nature reviews. Neuroscience · 2026
    Review
  2. Review
  3. Article
  4. Influences of temporal order in temporal reproduction.Psychonomic bulletin & review · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Systematic errors in the perception of rhythm.Frontiers in human neuroscience · 2022
    Article
  9. Mediodorsal Thalamus Contributes to the Timing of Instrumental Actions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Short-term depression and transient memory in sensory cortex.Journal of computational neuroscience · 2017
    Article
  19. The Persistence of Memory: How the Brain Encodes Time in Memory.Current opinion in behavioral sciences · 2017
    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

2 authors.

Nicholas F HardyDepartments of Neurobiology and Psychology, and Integrative Center for Learning and Memory, University of California, Los Angeles, Los Angeles, CA 90095.
Dean V BuonomanoDepartments of Neurobiology and Psychology, and Integrative Center for Learning and Memory, University of California, Los Angeles, Los Angeles, CA 90095.

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
NIMH NIH HHS R01 MH060163NINDS NIH HHS T32 NS058280
6 · The paper itself

Abstract

Most of the computations and tasks performed by the brain require the ability to tell time, and process and generate temporal patterns. Thus, there is a diverse set of neural mechanisms in place to allow the brain to tell time across a wide range of scales: from interaural delays on the order of microseconds to circadian rhythms and beyond. Temporal processing is most sophisticated on the scale of tens of milliseconds to a few seconds, because it is within this range that the brain must recognize and produce complex temporal patterns-such as those that characterize speech and music. Most models of timing, however, have focused primarily on simple intervals and durations, thus it is not clear whether they will generalize to complex pattern-based temporal tasks. Here, we review neurobiologically based models of timing in the subsecond range, focusing on whether they generalize to tasks that require placing consecutive intervals in the context of an overall pattern, that is,

Indexed as

Neural dynamicsneural trajectorypopulation clockState-Dependent networkSynfire ChainTiming

Identifiers

PMID27790629
PMCPMC5077164

What OpenQuestion holds

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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.