Evidence map›Paper›PMID 34843455›Full record

ArticlePLoS computational biology2021

Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity.

René Larisch, Lorenz Gönner, Michael Teichmann, Fred H Hamker

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

René LarischDepartment of Computer Science, Artificial Intelligence, TU Chemnitz, Chemnitz, Germany.ORCID 0000-0003-3544-0631
Lorenz GönnerDepartment of Computer Science, Artificial Intelligence, TU Chemnitz, Chemnitz, Germany.ORCID 0000-0002-2840-8791
Michael TeichmannDepartment of Computer Science, Artificial Intelligence, TU Chemnitz, Chemnitz, Germany.ORCID 0000-0003-1788-4028
Fred H HamkerDepartment of Computer Science, Artificial Intelligence, TU Chemnitz, Chemnitz, Germany.ORCID 0000-0001-9104-7143

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visual stimuli are represented by a highly efficient code in the primary visual cortex, but the development of this code is still unclear. Two distinct factors control coding efficiency: Representational efficiency, which is determined by neuronal tuning diversity, and metabolic efficiency, which is influenced by neuronal gain. How these determinants of coding efficiency are shaped during development, supported by excitatory and inhibitory plasticity, is only partially understood. We investigate a fully plastic spiking network of the primary visual cortex, building on phenomenological plasticity rules. Our results suggest that inhibitory plasticity is key to the emergence of tuning diversity and accurate input encoding. We show that inhibitory feedback (random and specific) increases the metabolic efficiency by implementing a gain control mechanism. Interestingly, this led to the spontaneous emergence of contrast-invariant tuning curves. Our findings highlight that (1) interneuron plasticity is key to the development of tuning diversity and (2) that efficient sensory representations are an emergent property of the resulting network.

Indexed as

Neuronal PlasticityPhotic StimulationAction PotentialsAnimalsNeural InhibitionNeuronsPrimary Visual Cortex

Identifiers

PMID34843455
PMCPMC8629393

What OpenQuestion holds

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LicenceCC BY
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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.