Evidence map›Paper›PMID 42118497›Full record

ArticleJournal of computational neuroscience2026

A charge conservative finite volume discretization of the Hodgkin-Huxley model.

Muhammad Zeeshan Ashraf, Tanel Peets, Kert Tamm

Abstract read
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In one paragraph

Article in Journal of computational neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Muhammad Zeeshan Ashraf *Department of Cybernetics, Tallinn University of Technology, Ehitajate tee 5, Tallinn, 19086, Harjumaa, Estonia. muhammad.ashraf@taltech.ee.
Tanel Peets *Department of Cybernetics, Tallinn University of Technology, Ehitajate tee 5, Tallinn, 19086, Harjumaa, Estonia.
Kert Tamm *Department of Cybernetics, Tallinn University of Technology, Ehitajate tee 5, Tallinn, 19086, Harjumaa, Estonia.

Funding

Estonian Research Council PRG 1227
6 · The paper itself

Abstract

This article presents a computational study of the Hodgkin-Huxley model and the simulation of action potential propagation in an unmyelinated axon using the finite volume method. By implementing a voltage-clamp patch and tracking detailed ionic and capacitive currents and channel gating, we achieve robust and unit-consistent simulation of action potential initiation and propagation.

Indexed as

Action PotentialsAxonsModels, NeurologicalNeuronsAnimalsComputer SimulationHumansIon Channel GatingMembrane PotentialsPatch-Clamp TechniquesAction potentialFinite volume methodHodgkin–Huxley modelIon flux quantification

Identifiers

PMID42118497

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.