Evidence map›Paper›PMID 25728188›Full record

ReviewThe European journal of neuroscience2015

Perceptual learning in the developing auditory cortex.

Shaowen Bao

Abstract readReview
In one paragraph

Review in The European journal of neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Cumulative inhibition in neural networks.Cognitive processing · 2019
    Article
  7. Brief Stimulus Exposure Fully Remediates Temporal Processing Deficits Induced by Early Hearing Loss.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  8. Article
  9. Article
  10. 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

1 author.

Shaowen BaoDepartment of Physiology, University of Arizona, Tucson, AZ, 85724, USA.

Funding

Cortical mechanisms of categorical perceptual learningR01DC009259 · NIDCD · UNIVERSITY OF CALIFORNIA BERKELEY · PI BAO, SHAOWEN · 2008 to 2012
$1.3M
NIDCD NIH HHS DC-009259NIDCD NIH HHS R01 DC009259
6 · The paper itself

Abstract

A hallmark of the developing auditory cortex is the heightened plasticity in the critical period, during which acoustic inputs can indelibly alter cortical function. However, not all sounds in the natural acoustic environment are ethologically relevant. How does the auditory system resolve relevant sounds from the acoustic environment in such an early developmental stage when most associative learning mechanisms are not yet fully functional? What can the auditory system learn from one of the most important classes of sounds, animal vocalizations? How does naturalistic acoustic experience shape cortical sound representation and perception? To answer these questions, we need to consider an unusual strategy, statistical learning, where what the system needs to learn is embedded in the sensory input. Here, I will review recent findings on how certain statistical structures of natural animal vocalizations shape auditory cortical acoustic representations, and how cortical plasticity may underlie learned categorical sound perception. These results will be discussed in the context of human speech perception.

Indexed as

LearningSpeech PerceptionVocalization, AnimalAnimalsAuditory CortexHumansauditory cortexcategorical perceptiondevelopmentperceptual learningstatistical learning

Identifiers

PMID25728188
PMCPMC4349211

What OpenQuestion holds

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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.