Evidence map›Paper›PMID 26631106›Full record

ReviewTrends in hearing2015

Auditory Model-Based Sound Direction Estimation With Bilateral Cochlear Implants.

Daryl Kelvasa, Mathias Dietz

Abstract readReview
In one paragraph

Review in Trends in hearing, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. [Evaluation of hearing and speech rehabilitation after cochlear implantation in children with Waardenburg syndrome].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Physiological models of the lateral superior olive.PLoS computational biology · 2017
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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.

Daryl KelvasaUniversität Oldenburg, Germany.
Mathias DietzUniversität Oldenburg, Germany mathias.dietz@uni-oldenburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Users of bilateral cochlear implants (CIs) show above-chance performance in localizing the source of a sound in the azimuthal (horizontal) plane; although localization errors are far worse than for normal-hearing listeners, they are considerably better than for CI listeners with only one implant. In most previous studies, subjects had access to interaural level differences and to interaural time differences conveyed in the temporal envelope. Here, we present a binaural model that predicts the azimuthal direction of sound arrival from a two-channel input signal as it is received at the left and right CI processor. The model includes a replication of a clinical speech-coding strategy, a model of the electrode-nerve interface and binaural brainstem neurons, and three different prediction stages that are trained to map the neural response rate to an azimuthal angle. The model is trained and tested with various noise and speech stimuli created by means of virtual acoustics. Localization error patterns of the model match experimental data and are explicable largely in terms of the nonmonotonic relationship between interaural level difference and azimuthal angle.

Indexed as

Cochlear ImplantsAcoustic StimulationAuditory PerceptionAuditory ThresholdCochlear ImplantationDeafnessFemaleHumansMaleSound Localizationbilateralcochlear implantdirection of arrivalhead-related transfer functioninteraural level differencelateral superior olivelocalization

Identifiers

PMID26631106
PMCPMC4771030

What OpenQuestion holds

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Registered trials

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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.