Evidence map›Paper›PMID 33814862›Full record

ArticleCommunications in nonlinear science & numerical simulation2019

Large time step discrete-time modeling of sharp wave activity in hippocampal area CA3.

Paola Malerba, Nikolai F Rulkov, Maxim Bazhenov

Open access · greenAbstract read
In one paragraph

Article in Communications in nonlinear science & numerical simulation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Paola MalerbaDepartment of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, United States.
Nikolai F RulkovBioCircuits Institute, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, United States.
Maxim BazhenovDepartment of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, United States.
University of California San Diego · USUniversity of California, Irvine · US

Funding

From ion channel dynamics to human EEG and MEG: multiscale neuronal models validated by human dataRF1MH117155 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAZHENOV, MAKSIM V, CASH, SYDNEY S · 2018 to 2018
$3.7M
NIMH NIH HHS RF1 MH117155
6 · The paper itself

Abstract

Reduced models of neuronal spiking activity simulated with a fixed integration time are frequently used in studies of spatio-temporal dynamics of neurobiological networks. The choice of fixed time step integration provides computational simplicity and efficiency, especially in cases dealing with large number of neurons and synapses operating at a different level of activity across the population at any given time. A network model tuned to generate a particular type of oscillations or wave patterns is sensitive to the intrinsic properties of neurons and synapses and, therefore, commonly susceptible to changes the time step of integration. In this study, we analyzed a model of sharp-wave activity in the network of hippocampal area CA3, to examine how an increase of the integration time step affects network behavior and to propose adjustments of intrinsic properties neurons and synapses that help minimize or remove the damage caused by the time step increase.

Indexed as

HippocampusIntegration time sensitivityNetwork dynamicsSharp waves

Identifiers

PMID33814862
PMCPMC8015963
OpenAlexW2952895625

What OpenQuestion holds

Textmetadata
LicenceTDM
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.