Evidence map›Paper›PMID 28044012›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017

Modelling auditory attention.

Emine Merve Kaya, Mounya Elhilali

Erratum issuedAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
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  5. Neural Correlates of Perceptual Plasticity in the Auditory Midbrain and Thalamus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. A Review of Auditory Attention: Neural Mechanisms, Theories, and Affective Disorders.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Auditory salience using natural scenes: An online study.The Journal of the Acoustical Society of America · 2021
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Emine Merve KayaLaboratory for Computational Audio Perception, Department of Electrical and Computer Engineering, The Johns Hopkins University, 3400 N Charles Street, Barton Hall, Baltimore, MD 21218, USA.
Mounya ElhilaliLaboratory for Computational Audio Perception, Department of Electrical and Computer Engineering, The Johns Hopkins University, 3400 N Charles Street, Barton Hall, Baltimore, MD 21218, USA mounya@jhu.edu.ORCID 0000-0003-2597-738X

Funding

Smart stethoscope for monitoring and diagnosis of lung diseasesR01HL133043 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ELHILALI, MOUNYA · 2016 to 2019
$2.3M
Overcoming the Cocktail Party Problem: A Multi-scale Perspective on the NeurobioR01AG036424 · NIA · JOHNS HOPKINS UNIVERSITY · PI ELHILALI, MOUNYA · 2010 to 2014
$2.2M
NHLBI NIH HHS R01 HL133043NIA NIH HHS R01 AG036424
6 · The paper itself

Abstract

Sounds in everyday life seldom appear in isolation. Both humans and machines are constantly flooded with a cacophony of sounds that need to be sorted through and scoured for relevant information-a phenomenon referred to as the 'cocktail party problem'. A key component in parsing acoustic scenes is the role of attention, which mediates perception and behaviour by focusing both sensory and cognitive resources on pertinent information in the stimulus space. The current article provides a review of modelling studies of auditory attention. The review highlights how the term attention refers to a multitude of behavioural and cognitive processes that can shape sensory processing. Attention can be modulated by 'bottom-up' sensory-driven factors, as well as 'top-down' task-specific goals, expectations and learned schemas. Essentially, it acts as a selection process or processes that focus both sensory and cognitive resources on the most relevant events in the soundscape; with relevance being dictated by the stimulus itself (e.g. a loud explosion) or by a task at hand (e.g. listen to announcements in a busy airport). Recent computational models of auditory attention provide key insights into its role in facilitating perception in cluttered auditory scenes.This article is part of the themed issue 'Auditory and visual scene analysis'.

Indexed as

AttentionAuditory PerceptionAnimalsHumansModels, Neurologicalauditory attentionauditory scenebottom-upcomputational modelsaliencetop-down

Identifiers

PMID28044012
PMCPMC5206269

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.