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Cellular Memristive Dynamical Systems (CMDS)

Bavandpour, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1142/S021812741430016X
  3. Abstract:
  4. This study presents a cellular-based mapping for a special class of dynamical systems for embedding neuron models, by exploiting an efficient memristor crossbar-based circuit for its implementation. The resultant reconfigurable memristive dynamical circuit exhibits various bifurcation phenomena, and responses that are characteristic of dynamical systems. High programmability of the circuit enables it to be applied to real-time applications, learning systems, and analytically indescribable dynamical systems. Moreover, its efficient implementation platform makes it an appropriate choice for on-chip applications and prostheses. We apply this method to the Izhikevich, and FitzHugh-Nagumo neuron models as case studies, and investigate the dynamical behaviors of these circuits
  5. Keywords:
  6. Cellular mapping ; FitzHugh-Nagumo neuron model ; Bifurcation (mathematics) ; Mapping ; Neurons ; Passive filters ; Bifurcation analysis ; Bifurcation phenomena ; Efficient implementation ; Fitzhugh-nagumo neurons ; Izhikevich neuron model ; Memristor ; On-chip applications ; Real-time application ; Dynamical systems
  7. Source: International Journal of Bifurcation and Chaos ; Vol. 24, issue. 5 , May , 2014
  8. URL: http://www.worldscientific.com/doi/abs/10.1142/S021812741430016X