Evidence map›Paper›PMID 36408063›Full record

ArticleCognitive neurodynamics2022

Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron.

P R Protachevicz, C A Bonin, K C Iarosz, I L Caldas, A M Batista

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2022. 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

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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
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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

5 authors.

P R ProtacheviczInstitute of Physics, University of São Paulo, São Paulo, Brazil.ORCID 0000-0003-4956-5259
C A BoninDepartment of Mathematics and Statistics, State University of Ponta Grossa, Ponta Grossa, Brazil.
K C IaroszEngineering Department, Faculdade de Telêmaco Borba, Telêmaco Borba, Brazil.
I L CaldasInstitute of Physics, University of São Paulo, São Paulo, Brazil.
A M BatistaDepartment of Mathematics and Statistics, State University of Ponta Grossa, Ponta Grossa, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuronal spike variability is a statistical property associated with the noise environment. Considering a linearised Hodgkin-Huxley model, we investigate how large spike variability can be induced in a typical stellate cell when submitted to constant and noise current amplitudes. For low noise current, we observe only periodic firing (active) or silence activities. For intermediate noise values, in addition to only active or inactive periods, we also identify a single transition from an initial spike-train (active) to silence dynamics over time, where the spike variability is low. However, for high noise current, we find intermittent active and silence periods with different values. The spike intervals during active and silent states follow the exponential distribution, which is similar to the Poisson process. For non-maximal noise current, we observe the highest values of inter-spike variability. Our results suggest sub-threshold oscillations as a possible mechanism for the appearance of high spike variability in a single neuron due to noise currents.

Indexed as

Linearised Hodgkin–HuxleySpike-trainsSpike variabilityWhite noise

Identifiers

PMID36408063
PMCPMC9666614

What OpenQuestion holds

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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.