Evidence map›Paper›PMID 39534589›Full record

ArticleCognitive neurodynamics2024

Imperfect chimera and synchronization in a hybrid adaptive conductance based exponential integrate and fire neuron model.

Sathiyadevi Kanagaraj, Irene Moroz, Premraj Durairaj, Anitha Karthikeyan, Karthikeyan Rajagopal

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Sathiyadevi KanagarajCentre for Nonlinear Systems, Chennai Institute of Technology, Chennai, Tamilnadu 600 069 India.
Irene MorozMathematical Institute, Oxford University, Oxford, OX2 6GG UK.
Premraj DurairajCentre for Nonlinear Systems, Chennai Institute of Technology, Chennai, Tamilnadu 600 069 India.
Anitha KarthikeyanDepartment of Electronics and Communication Engineering, Vemu Institute of Technology, Chitoor, Andhra Pradesh 517112 India.
Karthikeyan RajagopalCentre for Nonlinear Systems, Chennai Institute of Technology, Chennai, Tamilnadu 600 069 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the hybrid conductance-based adaptive exponential integrate and fire (CadEx) neuron model is proposed to determine the effect of magnetic flux on conductance-based neurons. To begin with, bifurcation analysis is carried out in relation to the input current, resetting parameter, and adaptation time constant in order to comprehend dynamical transitions. We exemplify that the existence of period-1, period-2, and period-4 cycles depends on the magnitude of input current via period doubling and period halving bifurcations. Furthermore, the presence of chaotic behavior is discovered by varying the adaptation time constant via the period doubling route. Following that, we examine the network behavior of CadEx neurons and discover the presence of a variety of dynamical behaviors such as desynchronization, traveling chimera, traveling wave, imperfect chimera, and synchronization. The appearance of synchronization is especially noticeable when the magnitude of the magnetic flux coefficient or the strength of coupling strength is increased. As a result, achieving synchronization in CadEx is essential for neuron activity, which can aid in the realization of such behavior during many cognitive processes.

Indexed as

BifurcationChimeraClusterLyapunov exponentsSynchronization

Identifiers

PMID39534589
PMCPMC11551093

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.