Evidence map›Paper›PMID 30256735›Full record

ArticleJournal of neurophysiology2018

Neuronal adaptation to sound statistics in the inferior colliculus of behaving macaques does not reduce the effectiveness of the masking noise.

Francesca Rocchi, Ramnarayan Ramachandran

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Mechanisms of Tone-in-Noise Encoding in the Inferior Colliculus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Adaptation in auditory processing.Physiological reviews · 2023
    Review
  8. Article
  9. Review
  10. Three psychophysical metrics of auditory temporal integration in macaques.The Journal of the Acoustical Society of America · 2021
    Article
  11. Article
  12. Midbrain-Level Neural Correlates of Behavioral Tone-in-Noise Detection: Dependence on Energy and Envelope Cues.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  13. Listening in complex acoustic scenes.Current opinion in physiology · 2020
    Article
  14. Article
  15. Article
  16. Adaptation to Noise in Human Speech Recognition Depends on Noise-Level Statistics and Fast Dynamic-Range Compression.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  17. 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

2 authors.

Francesca RocchiDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center , Nashville, Tennessee.
Ramnarayan RamachandranDepartment of Hearing and Speech Sciences, Vanderbilt University Medical Center , Nashville, Tennessee.ORCID 0000-0002-1235-3036

Funding

Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Subcortical neural basis of hearing in noiseR01DC011092 · NIDCD · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RAMACHANDRAN, RAMNARAYAN · 2010 to 2014
$1.8M
NICHD NIH HHS U54 HD083211NIDCD NIH HHS R01 DC011092
6 · The paper itself

Abstract

The detectability of target sounds embedded within noisy backgrounds is affected by the regularities that summarize acoustic sceneries. Previous studies suggested that the dynamic range of neurons in the inferior colliculus (IC) of anesthetized guinea pigs shifts toward the mean sound pressure level in irregular acoustic environments. Yet, it is unclear how this neuronal adaptation processes may influence the effectiveness of sounds as a masker, both behaviorally and in terms of neuronal encoding. To answer this question, we measured the neural response of IC neurons while macaque monkeys performed a Go/No-Go tone detection task. Macaques detected a 50-ms tone that was either simultaneously gated with a burst of noise or embedded within a continuous noise background, whose levels were randomly sampled (every 50 ms) from a probability distribution. The mean of the distribution matched the level of the gated burst of noise. Psychometric and IC neurometric thresholds to tones did not differ between the two masking conditions. However, the neuronal firing rate versus level function was significantly affected by the temporal characteristics of the noise masker. Simultaneously gated noise caused higher baseline responses and greater dynamic range compression compared with noise distribution. The slopes of psychometric and neurometric functions were significantly shallower for higher variance distributions, suggesting that neuronal sensitivity might change with the variability of the sound. Our results suggest that the adaptive response of IC neurons to sound regularities does not affect the effectiveness of the noise-masking signal, which remains invariant to surrounding noise amplitudes. NEW & NOTEWORTHY Auditory neurons adapt to the statistics of sound levels in the acoustic scene. However, it is still unclear to what extent such adaptation influences the effectiveness of the stimulus as a masker. Our study represents the first attempt to investigate how the adaptation to the statistics of masking stimuli may be related to the effectiveness of masking, and to the single-unit encoding of the midbrain auditory neurons in behaving animals.

Indexed as

Adaptation, PhysiologicalPerceptual MaskingPitch PerceptionAnimalsInferior ColliculiMacaca mulattaMaleModels, NeurologicalNeuronsSensory Thresholdsbehaving macaquesdynamic range compressioninferior colliculusneuronal adaptationsound statistics

Identifiers

PMID30256735
PMCPMC6337033

What OpenQuestion holds

Textmetadata
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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.