Evidence map›Paper›PMID 28701545›Full record

ArticleJournal of neurophysiology2017

Decoding sound level in the marmoset primary auditory cortex.

Wensheng Sun, Ellisha N Marongelli, Paul V Watkins, Dennis L Barbour

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Distinct Inhibitory Neurons Differently Shape Neuronal Codes for Sound Intensity in the Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

4 authors at 1 institution in 1 country.

Wensheng SunDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.
Ellisha N MarongelliDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.
Paul V WatkinsDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri.
Dennis L BarbourDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri dbarbour@wustl.edu.ORCID 0000-0003-0851-0665
Washington University in St. Louis · US

Funding

NEURAL ENCODING OF COMPLEX SOUNDSR01DC009215 · NIDCD · WASHINGTON UNIVERSITY · PI BARBOUR, DENNIS L · 2009 to 2013
$1.9M
NIDCD NIH HHS R01 DC009215
6 · The paper itself

Abstract

Neurons that respond favorably to a particular sound level have been observed throughout the central auditory system, becoming steadily more common at higher processing areas. One theory about the role of these level-tuned or nonmonotonic neurons is the level-invariant encoding of sounds. To investigate this theory, we simulated various subpopulations of neurons by drawing from real primary auditory cortex (A1) neuron responses and surveyed their performance in forming different sound level representations. Pure nonmonotonic subpopulations did not provide the best level-invariant decoding; instead, mixtures of monotonic and nonmonotonic neurons provided the most accurate decoding. For level-fidelity decoding, the inclusion of nonmonotonic neurons slightly improved or did not change decoding accuracy until they constituted a high proportion. These results indicate that nonmonotonic neurons fill an encoding role complementary to, rather than alternate to, monotonic neurons.

Indexed as

AnimalsAuditory CortexAuditory PerceptionCallithrixNeuronsauditory cortexneural codingnonmonotonicprimatesound pressure level encoding

Identifiers

PMID28701545
PMCPMC5626894
OpenAlexW2734511034

What OpenQuestion holds

Textmetadata
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.