Evidence map›Paper›PMID 28945194›Full record

ArticleeLife2017

Signal integration at spherical bushy cells enhances representation of temporal structure but limits its range.

Christian Keine, Rudolf Rübsamen, Bernhard Englitz

Abstract read
In one paragraph

Article in eLife, 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
–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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Modeling the Short-Term Dynamics ofThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    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

3 authors.

Christian KeineCarver College of Medicine, Department of Anatomy and Cell Biology, University of Iowa, Iowa City, United States.ORCID http://orcid.org/0000-0002-8953-2593
Rudolf RübsamenFaculty of Bioscience, Pharmacy and Psychology, University of Leipzig, Leipzig, Germany.
Bernhard EnglitzDonders Center for Neuroscience, Department of Neurophysiology, Radboud University, Nijmegen, Netherlands.ORCID http://orcid.org/0000-0001-9106-0356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuronal inhibition is crucial for temporally precise and reproducible signaling in the auditory brainstem. Previously we showed that for various synthetic stimuli, spherical bushy cell (SBC) activity in the Mongolian gerbil is rendered sparser and more reliable by subtractive inhibition (Keine et al., 2016). Here, employing environmental stimuli, we demonstrate that the inhibitory gain control becomes even more effective, keeping stimulated response rates equal to spontaneous ones. However, what are the costs of this modulation? We performed dynamic stimulus reconstructions based on neural population responses for auditory nerve (ANF) input and SBC output to assess the influence of inhibition on acoustic signal representation. Compared to ANFs, reconstructions of natural stimuli based on SBC responses were temporally more precise, but the match between acoustic and represented signal decreased. Hence, for natural sounds, inhibition at SBCs plays an even stronger role in achieving sparse and reproducible neuronal activity, while compromising general signal representation.

Indexed as

Neural InhibitionAcoustic StimulationAnimalsAuditory PathwaysBrain StemEvoked Potentials, AuditoryExcitatory Postsynaptic PotentialsGerbillinaeNeuronsPatch-Clamp TechniquesSynaptic Transmissioncochlear nucleusinhibitionMongolian gerbilneurosciencesound localizationspherical bushy cellsstimulus reconstruction

Identifiers

PMID28945194
PMCPMC5626481

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.