The DOI matches its Crossref record.
Reverse-correlation methods in auditory research
Abstract
Single unit recordings have provided us with a basis for understanding the auditory system, especially about how it behaves under stimulation with simple sounds such as clicks and tones. The experimental as well as the theoretical approach to single unit studies has been dichotomous. One approach, the more familiar, gives a representation of nervous system activity in the form of peri-stimulus-time (PST) histograms, period histograms, iso-intensity rate curves and frequency tuning curves. This approach observes the neural output of units in the various nuclei in the auditory nervous system, and, faced with the random way in which the neurons respond to sound, proceeds by repeatedly presenting the same stimulus in order to obtain averaged results. These are the various histogram procedures (Gerstein & Kiang, 1960; Kiang et al. 1965).
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
Neural Processing of Amplitude-Modulated Sounds
JORIS, P. X., SCHREINER, C. E., & REES, A. (2004) · Physiological Reviews · doi:10.1152/physrev.00029.2003 · Cited by 938
Oblique effect: a neural basis in the visual cortex
Li, B., Peterson, M. R., & Freeman, R. D. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00954.2002 · Cited by 328
Predictive information in a sensory population
Palmer, S. E., Marre, O., Berry, M. J., & Bialek, W. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1506855112 · Cited by 257
Reliability and information transmission in spiking neurons.
Bialek, W., & Rieke, F. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90005-s · Cited by 200
Metadata
- Authors
- Eggermont, J. J., Johannesma, P. I. M., & Aertsen, A. M. H. J.
- Venue
- Quarterly Reviews of Biophysics
- Publisher
- Cambridge University Press (CUP)
- Published
- 1983-08
- Volume
- 16
- Issue
- 3
- Pages
- 341-414
- ISSN
- 0033-5835 (ISSN-L)
- 1469-8994
- OpenAlex
- W2073299519
- Cited by
- 233
- References
- 0
- FWCI
- 1.81
- 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: Reverse-correlation methods in auditory research. https://app.cochat.ai/papers/10.1017/s0033583500005126
- The paper
- Eggermont, J. J., Johannesma, P. I. M., & Aertsen, A. M. H. J. (1983). Reverse-correlation methods in auditory research. Quarterly Reviews of Biophysics. https://doi.org/10.1017/s0033583500005126
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.
