Design of a high-gain observer for the synchronization of chimera states in neurons coupled with fractional dynamics-Reference-Cited by-同舟云学术

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Design of a high-gain observer for the synchronization of chimera states in neurons coupled with fractional dynamics

Published:2020-02 Issue: Volume:539 Page:122896
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Vázquez-Guerrero P.,Gómez-Aguilar J.F.,Santamaria F.,Escobar-Jiménez R.F.

Funder

CONACyT, Mexico

CONACyT: Cátedras CONACyT para jóvenes investigadores 2014, Mexico

SNI-CONACyT, Mexico

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference49 articles.

1. Neural synchronization as a hypothetical explanation of the psychoanalytic unconscious;Ceylan;Conscious. Cogn.,2016

2. All together now: analogies between chimera state collapses and epileptic seizures;Andrzejak;Sci. Rep.,2016

3. High-frequency synchronization of neuronal activity in the subthalamic nucleus of parkinsonian patients with limb tremor;Levy;J. Neurosci.,2000

4. Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients;Mormann;Physica D,2000

5. Closed-loop stimulation of a delayed neural fields model of parkinsonian STN-GPe network: a theoretical and computational study;Detorakis;Front. Neurosci.,2015

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1. Effect of fractional derivatives on amplitude chimeras and symmetry-breaking death states in networks of limit-cycle oscillators;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-06-01

2. Diverse chimera and symmetry-breaking patterns induced by fractional derivation effect in a network of Stuart-Landau oscillators;Chaos, Solitons & Fractals;2022-04

3. Dynamics and synchronization of a fractional conformable neural network with power-law;The European Physical Journal Special Topics;2022-02-03

4. On numerical approximations of fractional-order spiking neuron models;Communications in Nonlinear Science and Numerical Simulation;2022-02

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