Analytical Derivation of Sharp-Edge-of-Chaos Domain in a One-Dimensional Memristor Array

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

In this work, we present analytical derivation of Sharp-Edge-of-Chaos (SEOC) domain for one dimensional (1D) reaction-diffusion arrays where we assume 1-port coupling with periodic boundary conditions. We consider a general form for the complexity function of the uncoupled cell and following an iterative approach, we derive the analytical formula of the destabilization condition for the 1D reaction-diffusion array with n elements. The destabilization condition further gives the critical value of the coupling resistor element for the emergence of pattern formation across the array. In order to demonstrate the functionality of the analytical derivations, we examine the normalized version of the complexity function of a practical memristive cell, and investigate the evolution of the critical value of the coupling resistor of the 1D array with respect to the parameter values of the complexity function and to the array size. In this way, we reveal a time-efficient simulation method for the determination of the destabilization condition in 1D memristive reaction-diffusion arrays which can be adopted for arrays of higher dimensions as well as for n-port couplings in the future.

Details

OriginalspracheEnglisch
Titel2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1133-1137
Seitenumfang5
ISBN (elektronisch)9798350300802
PublikationsstatusVeröffentlicht - 2023
Peer-Review-StatusJa

Publikationsreihe

ReiheIEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

Konferenz

Titel2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering
KurztitelMetroXRAINE 2023
Veranstaltungsnummer2
Dauer25 - 27 Oktober 2023
Webseite
OrtFAST - Conference Center
StadtMilano
LandItalien

Externe IDs

ORCID /0000-0001-7436-0103/work/172081487
ORCID /0000-0002-1236-1300/work/172082270

Schlagworte

Schlagwörter

  • cellular nonlinear network, destabilization, edge-of-chaos, local activity, memristor array, pattern formation, reaction-diffusion, sharp-edge-of-chaos