Evidence map›Paper›PMID 36793969›Full record

ArticleHeliyon2023

Effects of bias current and control of multistability in 3D hopfield neural network.

Bertrand Frederick Boui A Boya, Balamurali Ramakrishnan, Joseph Yves Effa, Jacques Kengne, Karthikeyan Rajagopal

Abstract read
In one paragraph

Article in Heliyon, 2023. 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

5 authors.

Bertrand Frederick Boui A BoyaUnité de Recherche d'Automatique et d'Informatique Appliquée (UR-AIA), IUT-FV Bandjoun, University of Dschang, P.O. Box 134, Bandjoun, Cameroon.
Balamurali RamakrishnanCenter for Nonlinear Systems, Chennai Institute of Technology, India.
Joseph Yves EffaDepartment of Physics, University of Ngaoundere, P.O. Box 454, Ngaoundere, Cameroon.
Jacques KengneUnité de Recherche d'Automatique et d'Informatique Appliquée (UR-AIA), IUT-FV Bandjoun, University of Dschang, P.O. Box 134, Bandjoun, Cameroon.
Karthikeyan RajagopalCenter for Nonlinear Systems, Chennai Institute of Technology, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work studies the dynamics of a three dimensional Hopfield neural network focusing on the impact of bias terms. In the presence of bias terms, the models displays an odd symmetry and experiences typical behaviors including period doubling, spontaneous symmetry breaking, merging crisis, bursting oscillation, coexisting attractors and coexisting period-doubling reversals as well. Multistability control is investigated by employing the linear augmentation feedback strategy. We numerically prove that the multistable neural system can be adjusted to experience only a single attractor behavior when the coupling coefficient is gradually monitored. Experimental results from a microcontroller based realization of the underlined neural system are consistent with the theoretical analysis.

Indexed as

Bias currentBursting oscillationHopfield neural networksMicrocontroller implementationMultistability control

Identifiers

PMID36793969
PMCPMC9922829

What OpenQuestion holds

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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.