Evidence map›Paper›PMID 24598525›Full record

ArticleJournal of neurophysiology2014

Encoding frequency contrast in primate auditory cortex.

Brian J Malone, Brian H Scott, Malcolm N Semple

Open access · greenAbstract read
In one paragraph

Article in Journal of neurophysiology, 2014. 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
0.8field-weighted citation impact, top 28% of its field
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, 13 citations in OpenAlex.

  1. Cortical deviance detection represents a canonical difference signal.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
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  5. Experience-Dependent Coding of Time-Dependent Frequency Trajectories by Off Responses in Secondary Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  6. Article
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  9. Effects of Signal-to-Noise Ratio on Auditory Cortical Frequency Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  10. Modulation-frequency-specific adaptation in awake auditory cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    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 at 3 institutions in 1 country.

Brian J MaloneDepartment of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, California; bmalone@ohns.ucsf.edu.
Brian H ScottLaboratory of Neuropsychology, National Institute of Mental Health/National Institutes of Health, Bethesda, Maryland; and.
Malcolm N SempleCenter for Neural Science, New York University, New York, New York.
National Institute of Mental Health · USNew York University · USUniversity of California, San Francisco · US

Funding

Nonlinear dynamics of complex sound processing in auditory cortexR01DC011843 · NIDCD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALONE, BRIAN J. · 2012 to 2016
$1.8M
PHYSIOLOGICAL TOPOGRAPHY OF THE AUDITORY CORTEXF31DC005287 · NIDCD · NEW YORK UNIVERSITY · PI SCOTT, BRIAN H · 2001 to 2001
$22k
NIDCD NIH HHS DC011843NIDCD NIH HHS DC-05287-01NIDCD NIH HHS R01 DC011843NIMH NIH HHS MH-12993-02
6 · The paper itself

Abstract

Changes in amplitude and frequency jointly determine much of the communicative significance of complex acoustic signals, including human speech. We have previously described responses of neurons in the core auditory cortex of awake rhesus macaques to sinusoidal amplitude modulation (SAM) signals. Here we report a complementary study of sinusoidal frequency modulation (SFM) in the same neurons. Responses to SFM were analogous to SAM responses in that changes in multiple parameters defining SFM stimuli (e.g., modulation frequency, modulation depth, carrier frequency) were robustly encoded in the temporal dynamics of the spike trains. For example, changes in the carrier frequency produced highly reproducible changes in shapes of the modulation period histogram, consistent with the notion that the instantaneous probability of discharge mirrors the moment-by-moment spectrum at low modulation rates. The upper limit for phase locking was similar across SAM and SFM within neurons, suggesting shared biophysical constraints on temporal processing. Using spike train classification methods, we found that neural thresholds for modulation depth discrimination are typically far lower than would be predicted from frequency tuning to static tones. This "dynamic hyperacuity" suggests a substantial central enhancement of the neural representation of frequency changes relative to the auditory periphery. Spike timing information was superior to average rate information when discriminating among SFM signals, and even when discriminating among static tones varying in frequency. This finding held even when differences in total spike count across stimuli were normalized, indicating both the primacy and generality of temporal response dynamics in cortical auditory processing.

Indexed as

Acoustic StimulationAction PotentialsAnimalsAuditory CortexAuditory ThresholdMacaca mulattaMaleNerve NetPitch PerceptionSensory Receptor Cellsauditorycortexmodulationneurophysiologyprimate

Identifiers

PMID24598525
PMCPMC4097870
OpenAlexW2333590689

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.