Evidence map›Paper›PMID 42489927›Full record

ArticleBiological cybernetics2026

Frequency-dependent coupling in response to oscillatory inputs in minimal networks of electrically coupled nodes: Gap junction networks and spatially extended neurons.

Andrea Bel, Ulises Chialva, Horacio G Rotstein

Abstract read
In one paragraph

Article in Biological cybernetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Andrea BelDepartamento de Matemática, Universidad Nacional del Sur (UNS) and CONICET, Bahía Blanca, Argentina.
Ulises ChialvaDepartamento de Matemática, Universidad Nacional del Sur (UNS) and CONICET, Bahía Blanca, Argentina.
Horacio G RotsteinFederated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, NJ, USA. horacio@njit.edu.

Funding

National Science Foundation IOS-2002863Universidad Nacional del Sur, Argentina PGI 24/L13
6 · The paper itself

Abstract

In electrically coupled networks, the coupling coefficient (CC) quantifies the strength of the connectivity between pairs of nodes. The CC is typically measured by computing the relative stationary responses to constant inputs of the indirectly activated (post-J) and the directly activated (pre-J) nodes. The natural extension of the CC to time-dependent inputs is frequency-dependent and has two components reflecting the contributions of the amplitude and phase frequency-dependent profiles (curves of these quantities as a function of the frequency

Indexed as

Biological ClocksGap JunctionsModels, NeurologicalNerve NetNeuronsAction PotentialsAnimalsComputer Simulation

Identifiers

PMID42489927
PMCPMC13395867

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.