Evolutionary Optimization of Entanglement Distillation Using Chialvo Maps

Ganesan, Timothy; Rodriguez-Aguilar, Roman; Marmolejo-Saucedo, José Antonio; Vasant, Pandian

doi:10.1007/978-3-031-50330-6_2

Lecture Notes in Networks and Systems

2023

DOI: 10.1007/978-3-031-50330-6_2

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Evolutionary Optimization of Entanglement Distillation Using Chialvo Maps

Timothy Ganesan,

Roman Rodriguez-Aguilar,

José Antonio Marmolejo-Saucedo

et al.

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2024

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Dynamical properties of a small heterogeneous chain network of neurons in discrete time

Ghosh,

Nair,

Fatoyinbo

et al. 2024

Eur. Phys. J. Plus

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We propose a novel nonlinear bidirectionally coupled heterogeneous chain network whose dynamics evolve in discrete time. The backbone of the model is a pair of popular map-based neuron models, the Chialvo and the Rulkov maps. This model is assumed to proximate the intricate dynamical properties of neurons in the widely complex nervous system. The model is first realized via various nonlinear analysis techniques: fixed point analysis, phase portraits, Jacobian matrix, and bifurcation diagrams. We observe the coexistence of chaotic and period-4 attractors. Various codimension-1 and -2 patterns for example saddle-node, period-doubling, Neimark–Sacker, double Neimark–Sacker, flip- and fold-Neimark–Sacker, and 1 : 1 and 1 : 2 resonance are also explored. Furthermore, the study employs two synchronization measures to quantify how the oscillators in the network behave in tandem with each other over a long number of iterations. Finally, a time series analysis of the model is performed to investigate its complexity in terms of sample entropy.

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Dynamical properties of a small heterogeneous chain network of neurons in discrete time

Ghosh,

Nair,

Fatoyinbo

et al. 2024

Eur. Phys. J. Plus

View full text Add to dashboard Cite

show abstract

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Evolutionary Optimization of Entanglement Distillation Using Chialvo Maps

Cited by 1 publication

References 14 publications

Dynamical properties of a small heterogeneous chain network of neurons in discrete time

Dynamical properties of a small heterogeneous chain network of neurons in discrete time

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