Evidence map›Paper›PMID 26464959›Full record

ArticleeNeuro

A Structural Theory of Pitch(1,2,3).

Jonathan Laudanski, Yi Zheng, Romain Brette

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Periodicity Pitch Perception.Frontiers in neuroscience · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

3 authors.

Jonathan LaudanskiInstitut D'etudes De La Cognition, Ecole Normale Supérieure , Paris, France ; Scientific and Clinical Research Department, Neurelec , Vallauris, France.
Yi ZhengInstitut D'etudes De La Cognition, Ecole Normale Supérieure , Paris, France ; Sorbonne Universités, UPMC Université Paris 06, UMR_S 968, Institut De La Vision , Paris, F-75012, France ; INSERM, U968 Paris, F-75012, France ; CNRS, UMR_7210 , Paris, F-75012, France.
Romain BretteInstitut D'etudes De La Cognition, Ecole Normale Supérieure , Paris, France ; Sorbonne Universités, UPMC Université Paris 06, UMR_S 968, Institut De La Vision , Paris, F-75012, France ; INSERM, U968 Paris, F-75012, France ; CNRS, UMR_7210 , Paris, F-75012, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musical notes can be ordered from low to high along a perceptual dimension called "pitch". A characteristic property of these sounds is their periodic waveform, and periodicity generally correlates with pitch. Thus, pitch is often described as the perceptual correlate of the periodicity of the sound's waveform. However, the existence and salience of pitch also depends in a complex way on other factors, in particular harmonic content. For example, periodic sounds made of high-order harmonics tend to have a weaker pitch than those made of low-order harmonics. Here we examine the theoretical proposition that pitch is the perceptual correlate of the regularity structure of the vibration pattern of the basilar membrane, across place and time-a generalization of the traditional view on pitch. While this proposition also attributes pitch to periodic sounds, we show that it predicts differences between resolved and unresolved harmonic complexes and a complex domain of existence of pitch, in agreement with psychophysical experiments. We also present a possible neural mechanism for pitch estimation based on coincidence detection, which does not require long delays, in contrast with standard temporal models of pitch.

Indexed as

basilar membranemodelpitch perception

Identifiers

PMID26464959
PMCPMC4596137

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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.