Evidence map›Paper›PMID 30559658›Full record

ArticleFrontiers in neuroinformatics2018

Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness.

Alice Geminiani, Claudia Casellato, Francesca Locatelli, Francesca Prestori, Alessandra Pedrocchi, Egidio D'Angelo

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

18 citing papers in PubMed, 41 citations in OpenAlex.

  1. An integratediScience · 2026
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  6. Multiscale modeling of neuronal dynamics in hippocampus CA1.Frontiers in computational neuroscience · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Alice GeminianiNEARLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Claudia CasellatoDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Francesca LocatelliDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Francesca PrestoriDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Alessandra PedrocchiNEARLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Egidio D'AngeloDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
University of Pavia · ITPolitecnico di Milano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain neurons exhibit complex electroresponsive properties - including intrinsic subthreshold oscillations and pacemaking, resonance and phase-reset - which are thought to play a critical role in controlling neural network dynamics. Although these properties emerge from detailed representations of molecular-level mechanisms in "realistic" models, they cannot usually be generated by simplified neuronal models (although these may show spike-frequency adaptation and bursting). We report here that this whole set of properties can be generated by the

Indexed as

cerebellumGolgi cellleaky integrate-and-firemodel simplificationneuronal electroresponsivenessneuronal modelingpoint neuron

Identifiers

PMID30559658
PMCPMC6287018
OpenAlexW2952194729

What OpenQuestion 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 OpenQuestion graph.