Evidence map›Paper›PMID 26098109›Full record

ArticlePLoS computational biology2015

High Stimulus-Related Information in Barrel Cortex Inhibitory Interneurons.

Vicente Reyes-Puerta, Suam Kim, Jyh-Jang Sun, Barbara Imbrosci, Werner Kilb, Heiko J Luhmann

Abstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Dynamics of neocortical networks: connectivity beyond the canonical microcircuit.Pflugers Archiv : European journal of physiology · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Single-Cell Stimulation in Barrel Cortex Influences Psychophysical Detection Performance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Inhibitory Circuits in Cortical Layer 5.Frontiers in neural circuits · 2016
    Review
  12. 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

6 authors.

Vicente Reyes-PuertaInstitute of Physiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany.
Suam KimInstitute of Physiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany.
Jyh-Jang SunInstitute of Physiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany.
Barbara ImbrosciInstitute of Physiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany.
Werner KilbInstitute of Physiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany.
Heiko J LuhmannInstitute of Physiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The manner in which populations of inhibitory (INH) and excitatory (EXC) neocortical neurons collectively encode stimulus-related information is a fundamental, yet still unresolved question. Here we address this question by simultaneously recording with large-scale multi-electrode arrays (of up to 128 channels) the activity of cell ensembles (of up to 74 neurons) distributed along all layers of 3-4 neighboring cortical columns in the anesthetized adult rat somatosensory barrel cortex in vivo. Using two different whisker stimulus modalities (location and frequency) we show that individual INH neurons--classified as such according to their distinct extracellular spike waveforms--discriminate better between restricted sets of stimuli (≤6 stimulus classes) than EXC neurons in granular and infra-granular layers. We also demonstrate that ensembles of INH cells jointly provide as much information about such stimuli as comparable ensembles containing the ~20% most informative EXC neurons, however presenting less information redundancy - a result which was consistent when applying both theoretical information measurements and linear discriminant analysis classifiers. These results suggest that a consortium of INH neurons dominates the information conveyed to the neocortical network, thereby efficiently processing incoming sensory activity. This conclusion extends our view on the role of the inhibitory system to orchestrate cortical activity.

Indexed as

Models, NeurologicalAction PotentialsAnimalsComputational BiologyInterneuronsMaleNerve NetRatsRats, WistarSomatosensory Cortex

Identifiers

PMID26098109
PMCPMC4476555

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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.