Generalized Synchronization of Hindmarsh–Rose Neurons with Memristive Couplings

In this study, we explore the emergence of generalized synchronization (GS) in arrays of Hindmarsh–Rose (HR) neurons that are coupled through memristive synapses. We design coupling functions utilizing active memristors to facilitate GS in a bidirectionally coupled two-neuron memristive neural network (MNN). Our analysis employs a nearest neighbor (NN) approach. Our findings indicate that there is a threshold coupling strength for the active memristive synapses required to achieve GS. Additionally, we investigate how memristor parameters affect the temporal characteristics of synchronized neuronal firing patterns. Specifically, we discover that the interburst interval (IBI) is directly proportional to the coupling strength of the memristive synapses, while the interspike interval (ISI) is inversely proportional to this strength.

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Publication Details

Journal
Dynamics
Published
2025-12-01
DOI
https://doi.org/10.3390/dynamics5040050
Primary Topic
stochastic dynamics and bifurcation
Type
article
Field-Weighted Citation Impact
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article

Generalized Synchronization of Hindmarsh–Rose Neurons with Memristive Couplings

Juan Gonzalo Barajas-Ramírez, I. Carro-Pérez
Dynamics
stochastic dynamics and bifurcation
article

Generalized Synchronization of Hindmarsh–Rose Neurons with Memristive Couplings

Juan Gonzalo Barajas-Ramírez, I. Carro-Pérez
article en

Abstract

In this study, we explore the emergence of generalized synchronization (GS) in arrays of Hindmarsh–Rose (HR) neurons that are coupled through memristive synapses. We design coupling functions utilizing active memristors to facilitate GS in a bidirectionally coupled two-neuron memristive neural network (MNN). Our analysis employs a nearest neighbor (NN) approach. Our findings indicate that there is a threshold coupling strength for the active memristive synapses required to achieve GS. Additionally, we investigate how memristor parameters affect the temporal characteristics of synchronized neuronal firing patterns. Specifically, we discover that the interburst interval (IBI) is directly proportional to the coupling strength of the memristive synapses, while the interspike interval (ISI) is inversely proportional to this strength.

DynamicsVol. 5(4)
Institute for Scientific and Technological Research (MX)
Openalex Percentile: Top 69%
stochastic dynamics and bifurcation
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