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Hamiltonian energy and coexistence of hidden firing patterns from bidirectional coupling between two different neurons

Zeric Tabekoueng Njitacke, Bernard Nzoko Koumetio, Balamurali Ramakrishnan, Gervais Dolvis Leutcho, Théophile Fonzin Fozin, Nestor Tsafack, Kartikeyan Rajagopal, Jacques Kengne

2021Cognitive Neurodynamics68 citationsDOIOpen Access PDF

Abstract

In this paper, bidirectional-coupled neurons through an asymmetric electrical synapse are investigated. These coupled neurons involve 2D Hindmarsh-Rose (HR) and 2D FitzHugh-Nagumo (FN) neurons. The equilibria of the coupled neurons model are investigated, and their stabilities have revealed that, for some values of the electrical synaptic weight, the model under consideration can display either self-excited or hidden firing patterns. In addition, the hidden coexistence of chaotic bursting with periodic spiking, chaotic spiking with period spiking, chaotic bursting with a resting pattern, and the coexistence of chaotic spiking with a resting pattern are also found for some sets of electrical synaptic coupling. For all the investigated phenomena, the Hamiltonian energy of the model is computed. It enables the estimation of the amount of energy released during the transition between the various electrical activities. Pspice simulations are carried out based on the analog circuit of the coupled neurons to support our numerical results. Finally, an STM32F407ZE microcontroller development board is exploited for the digital implementation of the proposed coupled neurons model.

Topics & Concepts

Hamiltonian (control theory)Coupling (piping)Computer sciencePhysicsStatistical physicsTheoretical physicsMaterials scienceMathematicsMathematical optimizationMetallurgystochastic dynamics and bifurcationNeural dynamics and brain functionAdvanced Memory and Neural Computing
Hamiltonian energy and coexistence of hidden firing patterns from bidirectional coupling between two different neurons | Litcius