Evidence map›Paper›PMID 28446588›Full record

ArticleJournal of neurophysiology2017

Hierarchical differences in population coding within auditory cortex.

Joshua D Downer, Mamiko Niwa, Mitchell L Sutter

Abstract 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. An Emergent Population Code in Primary Auditory Cortex Supports Selective Attention to Spectral and Temporal Sound Features.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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.

Joshua D DownerCenter for Neuroscience and Department of Neurobiology, Physiology and Behavior, University of California, Davis, California.ORCID 0000-0003-3817-6733
Mamiko NiwaCenter for Neuroscience and Department of Neurobiology, Physiology and Behavior, University of California, Davis, California.
Mitchell L SutterCenter for Neuroscience and Department of Neurobiology, Physiology and Behavior, University of California, Davis, California mlsutter@ucdavis.edu.

Funding

Spectral and Temporal Integration in the Auditory SystemR01DC002514 · NIDCD · UNIVERSITY OF CALIFORNIA DAVIS · PI MITCHELL L SUTTER · 2001 to 2026
$10.3M
Single-unit response to AM sound in the auditory cortex.F31DC008935 · NIDCD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI NIWA, MAMIKO · 2007 to 2009
$62k
NIDCD NIH HHS F31 DC008935NIDCD NIH HHS R01 DC002514
6 · The paper itself

Abstract

Most models of auditory cortical (AC) population coding have focused on primary auditory cortex (A1). Thus our understanding of how neural coding for sounds progresses along the cortical hierarchy remains obscure. To illuminate this, we recorded from two AC fields: A1 and middle lateral belt (ML) of rhesus macaques. We presented amplitude-modulated (AM) noise during both passive listening and while the animals performed an AM detection task ("active" condition). In both fields, neurons exhibit monotonic AM-depth tuning, with A1 neurons mostly exhibiting increasing rate-depth functions and ML neurons approximately evenly distributed between increasing and decreasing functions. We measured noise correlation (

Indexed as

Acoustic StimulationAction PotentialsAnimalsAttentionAuditory CortexAuditory PerceptionFemaleMacaca mulattaMaleMicroelectrodesNeuronsSignal Detection, Psychologicalamplitude modulationattentionauditory cortexbeltnoise correlation

Identifiers

PMID28446588
PMCPMC5539454

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.