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Chimera states in a chain of superdiffusively coupled neurons
1P.N. Lebedev Physical Institute of the Russian Academy of Sciences, 53 Leninskiy Prospekt, Moscow 119991, Russian Federation.
Chaos (Woodbury, N.Y.)
|October 13, 2023
Summary
Superdiffusion equations with fractional Laplace operators enable chimera states in neuron models. Local couplings lead to synchronous behavior, while fractional exponents control chimera evolution and incoherence.
Area of Science:
- Computational Neuroscience
- Complex Systems Dynamics
- Mathematical Biology
Background:
- Action potential propagation is fundamental to neural communication.
- Understanding emergent behaviors like chimera states in neural networks is crucial.
- Non-local interactions and superdiffusion phenomena are increasingly recognized in biological systems.
Purpose of the Study:
- To investigate the emergence and characteristics of chimera states in neuronal systems with superdiffusion.
- To analyze the role of non-local couplings, specifically the fractional Laplace operator, in supporting chimera states.
- To examine the influence of neuronal activation properties and system dimensionality on chimera dynamics.
Main Methods:
- Analysis of two- and three-component systems of superdiffusion equations.
- Modeling neuronal dynamics using the Hindmarsh-Rose nonlinear functions.
- Employing the fractional Laplace operator to describe superdiffusion kinetics and non-local couplings.
Main Results:
- Non-local couplings based on the fractional Laplace operator support chimera states.
- Local couplings (classical Laplace operator) result in synchronous neuronal behavior.
- Chimera state structure and evolution are significantly dependent on the fractional Laplacian exponent, indicating the importance of non-locality.
Conclusions:
- Fractional superdiffusion dynamics provide a mechanism for chimera state formation in non-locally coupled neurons.
- The degree of non-locality, controlled by the fractional exponent, dictates the transition from coherent to incoherent states.
- Introducing additional slow variables can lead to complex transitions and the formation of intermediate chimera states.
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