Evidence map›Paper›PMID 41663716›Full record

ArticleNature human behaviour2026

Humans can use positive and negative spectrotemporal correlations to detect rising and falling pitch.

Parisa A Vaziri, Samuel D McDougle, Damon A Clark

Abstract read
In one paragraph

Article in Nature human behaviour, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Afterimages drive a shared visual motion-reversal illusion inbioRxiv : the preprint server for biology · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Parisa A VaziriYale College, Yale University, New Haven, CT, USA.
Samuel D McDougleDepartment of Psychology, Yale University, New Haven, CT, USA. samuel.mcdougle@yale.edu.ORCID 0000-0001-8100-4238
Damon A ClarkWu Tsai Institute, Yale University, New Haven, CT, USA. damon.clark@yale.edu.ORCID 0000-0001-8487-700X

Funding

Integrating visual counterevidence to detect self-motion in a small visual circuitR01EY026555 · NEI · YALE UNIVERSITY · PI CLARK, DAMON ALISTAIR · 2016 to 2025
$4.0M
NEI NIH HHS R01 EY026555U.S. Department of Health & Human Services | National Institutes of Health (NIH) NIH R01 EY026555
6 · The paper itself

Abstract

To discern speech or appreciate music, the human auditory system detects how pitch changes over time (pitch motion). Here, using psychophysics, computational modelling, functional neuroimaging and analysis of recorded speech, we ask whether humans can detect pitch motion using computations analogous to those used by the visual system. We adapted stimuli from studies of vision to create novel auditory correlated noise stimuli that elicited robust pitch motion percepts. In psychophysical experiments, we discovered that humans can judge pitch direction from spectrotemporal intensity correlations. Robust sensitivity to negative spectrotemporal correlations is a direct analogue of illusory 'reverse-phi' motion in vision, constituting a new auditory illusion. Functional MRI measurements in auditory cortex supported the hypothesis that human auditory processing may employ pitch direction opponency. Linking lab findings to real-world perception, we analysed recordings of English and Mandarin speech and found that pitch direction was signalled by both positive and negative spectrotemporal correlations, suggesting that sensitivity to both types confers ecological benefits. This work reveals how motion detection algorithms sensitive to local correlations are deployed by the central nervous system across disparate modalities (vision and audition) and dimensions (space and frequency).

Indexed as

Auditory CortexPitch PerceptionSpeech PerceptionAcoustic StimulationAdultFemaleHumansIllusionsMagnetic Resonance ImagingMaleMotion PerceptionPsychophysicsYoung Adult

Identifiers

PMID41663716
PMCPMC12932110

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.