The DOI matches its Crossref record.
Human Discrimination of Auditory Duration
Abstract
A series of experiments measured human ability to discriminate between durations of auditory signals presented in a noise background. Independent variables were the signal voltage, the “base” duration T, and the increment duration ΔT. Separate experiments assessed the effect of each of these on discrimination. A decision-theoretical model is presented, based on a “counting mechanism,” which operates on impulses generated over the relevant durations. The source of these impulses is assumed to be random. Limitations on performance come from uncertainty regarding the end points of the time interval and from limited memory. The decision processes underlying the model are presented as a general theory of duration discrimination.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The neural basis of temporal processing
Mauk, M. D., & Buonomano, D. V. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144247 · Cited by 976
Timing in the Absence of Clocks: Encoding Time in Neural Network States
Karmarkar, U. R., & Buonomano, D. V. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.006 · Cited by 577
Allan, L. G. (1979) · Perception & Psychophysics · doi:10.3758/bf03204158 · Cited by 565
Ivry, R. B., & Hazeltine, R. E. (1995) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.21.1.3 · Cited by 431
Temporal cognition: Connecting subjective time to perception, attention, and memory.
Matthews, W. J., & Meck, W. H. (2016) · Psychological Bulletin · doi:10.1037/bul0000045 · Cited by 384
Metadata
- Authors
- Creelman, C. D.
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 1962-05-01
- Volume
- 34
- Issue
- 5
- Pages
- 582-593
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W1973359760
- Cited by
- 491
- References
- 0
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Human Discrimination of Auditory Duration. https://app.cochat.ai/papers/10.1121/1.1918172
- The paper
- Creelman, C. D. (1962). Human Discrimination of Auditory Duration. The Journal of the Acoustical Society of America. https://doi.org/10.1121/1.1918172
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
