Evidence map›Paper›PMID 24446493›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2014

What is all the noise about in interval timing?

Sorinel A Oprisan, Catalin V Buhusi

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Modeling Time Cell Neuron-Level Dynamics.Computational brain & behavior · 2024
    Article
  2. Review
  3. Article
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  7. Article
  8. Article
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  14. Article
  15. Emotional modulation of interval timing and time perception.Neuroscience and biobehavioral reviews · 2016
    Review
  16. Contribution of Cerebellar Loops to Action Timing.Current opinion in behavioral sciences · 2016
    Article
  17. Clocks within Clocks: Timing by Coincidence Detection.Current opinion in behavioral sciences · 2016
    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

2 authors.

Sorinel A OprisanDepartment of Physics and Astronomy, College of Charleston, , 66 George Street, Charleston, SC 29624, USA.
Catalin V Buhusi

Funding

ATTENTIONAL PROCESSING OF TEMPORAL INFORMATIONR01MH065561 · NIMH · UTAH STATE UNIVERSITY · PI BUHUSI, CATALIN V. · 2002 to 2013
$2.0M
REPRESENTATION OF TEMPORAL INFORMATIONR01MH073057 · NIMH · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BUHUSI, CATALIN V. · 2006 to 2009
$824k
ATTENTIONAL PROCESSING OF TEMPORAL INFORMATIONR56MH065561 · NIMH · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BUHUSI, CATALIN V. · 2009 to 2009
$286k
NIMH NIH HHS MH065561NIMH NIH HHS MH073057NIMH NIH HHS R01 MH065561NIMH NIH HHS R01 MH073057NIMH NIH HHS R56 MH065561
6 · The paper itself

Abstract

Cognitive processes such as decision-making, rate calculation and planning require an accurate estimation of durations in the supra-second range-interval timing. In addition to being accurate, interval timing is scale invariant: the time-estimation errors are proportional to the estimated duration. The origin and mechanisms of this fundamental property are unknown. We discuss the computational properties of a circuit consisting of a large number of (input) neural oscillators projecting on a small number of (output) coincidence detector neurons, which allows time to be coded by the pattern of coincidental activation of its inputs. We showed analytically and checked numerically that time-scale invariance emerges from the neural noise. In particular, we found that errors or noise during storing or retrieving information regarding the memorized criterion time produce symmetric, Gaussian-like output whose width increases linearly with the criterion time. In contrast, frequency variability produces an asymmetric, long-tailed Gaussian-like output, that also obeys scale invariant property. In this architecture, time-scale invariance depends neither on the details of the input population, nor on the distribution probability of noise.

Indexed as

Models, NeurologicalAnimalsBiological ClocksCognitionComputer SimulationCorpus StriatumDecision MakingHumansMemoryNeuronsRatsTime Factorsinterval timingnoisestriatal beat frequency

Identifiers

PMID24446493
PMCPMC3895984

What OpenQuestion holds

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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.