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Investigation of an improved FitzHugh-Rinzel neuron and its multiplier-less circuit implementation.
Tabekoueng, Zeric Njitacke; Sriram, Balakrishnan; Rajagopal, Karthikeyan; Karthikeyan, Anitha; Awrejcewicz, Jan.
Afiliación
  • Tabekoueng ZN; Department of Electrical and Electronic Engineering, College of Technology (COT), University of Buea, P.O. Box 63, Buea, Cameroon.
  • Sriram B; Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai 600069, India.
  • Rajagopal K; Centre for Nonlinear Systems, Chennai Institute of Technology, Chennai 600069, India.
  • Karthikeyan A; Electronics and Communication Engineering, Vemu Institute of Technology, Chittoor 517112, India.
  • Awrejcewicz J; Department of Automation, Biomechanics and Mechatronics, Lodz University of Technology, ul. Stefanowskiego 1/15, Lodz 90-537, Poland.
Chaos ; 33(6)2023 Jun 01.
Article en En | MEDLINE | ID: mdl-37368042
Circuit implementation of the mathematical model of neurons represents an alternative approach for the validation of their dynamical behaviors for their potential applications in neuromorphic engineering. In this work, an improved FitzHugh-Rinzel neuron, in which the traditional cubic nonlinearity is swapped with a sine hyperbolic function, is introduced. This model has the advantage that it is multiplier-less since the nonlinear component is just implemented with two diodes in anti-parallel. The stability of the proposed model revealed that it has both stable and unstable nodes around its fixed points. Based on the Helmholtz theorem, a Hamilton function that enables the estimation of the energy released during the various modes of electrical activity is derived. Furthermore, numerical computation of the dynamic behavior of the model revealed that it was able to experience coherent and incoherent states involving both bursting and spiking. In addition, the simultaneous appearance of two different types of electric activity for the same neuron parameters is also recorded by just varying the initial states of the proposed model. Finally, the obtained results are validated using the designed electronic neural circuit, which has been analyzed in the Pspice simulation environment.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Chaos Asunto de la revista: CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Camerún Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Chaos Asunto de la revista: CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Camerún Pais de publicación: Estados Unidos