Evidence map›Paper›PMID 27322612›Full record

ArticlePLoS computational biology2016

Roles for Coincidence Detection in Coding Amplitude-Modulated Sounds.

Go Ashida, Jutta Kretzberg, Daniel J Tollin

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Pulse timing dominates binaural hearing with cochlear implants.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  8. Review
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  16. Across Species "Natural Ablation" Reveals the Brainstem Source of a Noninvasive Biomarker of Binaural Hearing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. Physiological models of the lateral superior olive.PLoS computational biology · 2017
    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 1 institution in 1 country.

Go AshidaCluster of Excellence "Hearing4all", Department for Neuroscience, Faculty 6, University of Oldenburg, Oldenburg, Germany.
Jutta KretzbergCluster of Excellence "Hearing4all", Department for Neuroscience, Faculty 6, University of Oldenburg, Oldenburg, Germany.
Daniel J TollinDepartment of Physiology and Biophysics, University of Colorado School of Medicine, Aurora, Colorado, United States of America.
University of Colorado Denver · US

Funding

Developmental effects of early hearing loss on auditory information processingR01DC011555 · NIDCD · UNIVERSITY OF COLORADO DENVER · PI KLUG, ACHIM, TOLLIN, DANIEL J · 2012 to 2021
$4.4M
NIDCD NIH HHS R01 DC011555
6 · The paper itself

Abstract

Many sensory neurons encode temporal information by detecting coincident arrivals of synaptic inputs. In the mammalian auditory brainstem, binaural neurons of the medial superior olive (MSO) are known to act as coincidence detectors, whereas in the lateral superior olive (LSO) roles of coincidence detection have remained unclear. LSO neurons receive excitatory and inhibitory inputs driven by ipsilateral and contralateral acoustic stimuli, respectively, and vary their output spike rates according to interaural level differences. In addition, LSO neurons are also sensitive to binaural phase differences of low-frequency tones and envelopes of amplitude-modulated (AM) sounds. Previous physiological recordings in vivo found considerable variations in monaural AM-tuning across neurons. To investigate the underlying mechanisms of the observed temporal tuning properties of LSO and their sources of variability, we used a simple coincidence counting model and examined how specific parameters of coincidence detection affect monaural and binaural AM coding. Spike rates and phase-locking of evoked excitatory and spontaneous inhibitory inputs had only minor effects on LSO output to monaural AM inputs. In contrast, the coincidence threshold of the model neuron affected both the overall spike rates and the half-peak positions of the AM-tuning curve, whereas the width of the coincidence window merely influenced the output spike rates. The duration of the refractory period affected only the low-frequency portion of the monaural AM-tuning curve. Unlike monaural AM coding, temporal factors, such as the coincidence window and the effective duration of inhibition, played a major role in determining the trough positions of simulated binaural phase-response curves. In addition, empirically-observed level-dependence of binaural phase-coding was reproduced in the framework of our minimalistic coincidence counting model. These modeling results suggest that coincidence detection of excitatory and inhibitory synaptic inputs is essential for LSO neurons to encode both monaural and binaural AM sounds.

Indexed as

Action PotentialsAnimalsAuditory PathwaysCatsModels, NeurologicalNeuronsOlivary NucleusSound LocalizationTime Factors

Identifiers

PMID27322612
PMCPMC4920552
OpenAlexW2468447286

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.