Evidence map›Paper›PMID 27175440›Full record

ArticleCurrent opinion in behavioral sciences2016

Interval timing, temporal averaging, and cue integration.

Benjamin J De Corte, Matthew S Matell

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. How movements shape the perception of time.Trends in cognitive sciences · 2021
    Review
  8. Numerical averaging in mice.Animal cognition · 2021
    Article
  9. Modeling Interval Timing by Recurrent Neural Nets.Frontiers in integrative neuroscience · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. 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.

Benjamin J De CorteDepartment of Psychology, Villanova University; Department of Neuroscience, The University of Iowa.
Matthew S MatellDepartment of Psychology, Villanova University.

Funding

NEUROSCIENCE TRAINING PROGRAMT32NS007421 · NINDS · UNIVERSITY OF IOWA · PI Sheila A Baker, Daniel T. Tranel · 1999 to 2026
$6.0M
Synthesis of Incongruent Temporal InformationR15DA029809 · NIDA · VILLANOVA UNIVERSITY · PI MATELL, MATTHEW S · 2011 to 2011
$405k
NIDA NIH HHS R15 DA029809NINDS NIH HHS T32 NS007421
6 · The paper itself

Abstract

In a series of recent experiments, we found that if rats are presented with two temporal cues, each signifying that reward will be delivered after a different duration elapses (e.g., tone-10 seconds / light-20 seconds), they will behave as if they have computed a weighted average of these respective durations. In the current article, we argue that this effect, referred to as "temporal averaging", can be understood within the context of Bayesian Decision Theory. Specifically, we propose and provide preliminary data showing that, when averaging, rats weight different durations based on the relative variability of the information their respective cues provide.

Indexed as

Bayesiancue combinationcue integrationInterval timingmaximum likelihood estimationmultisensory integrationtemporal averagingtime perception

Identifiers

PMID27175440
PMCPMC4860806

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.