Emergence of chimera states with re-programmable memristor crossbar arrays

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

Beitragende

  • Karolos-Alexandros Tsakalos - , Democritus University of Thrace (Autor:in)
  • V. Ntinas - , Democritus University of Thrace, UPC Universitat Politècnica de Catalunya (Barcelona Tech) (Autor:in)
  • R.-E. Karamani - , Democritus University of Thrace (Autor:in)
  • I.-A. Fyrigos - , Democritus University of Thrace (Autor:in)
  • T.P. Chatzinikolaou - , Democritus University of Thrace (Autor:in)
  • N. Vasileiadis - , Demokritos National Centre for Scientific Research (Autor:in)
  • Panagiotis Dimitrakis - , Demokritos National Centre for Scientific Research (Autor:in)
  • Astero Provata - , Demokritos National Centre for Scientific Research (Autor:in)
  • Georgios Ch Sirakoulis - , Democritus University of Thrace (Autor:in)

Abstract

The time series of the brain are usually characterized by the co-existence of synchronized and desynchronized behaviors. This kind of behavior is related to normal and disorderly functions of the brain. One of the suggested mechanisms to understand thoroughly this behavior are chimera states, which are characterized by the coincidence of coherent and incoherent dynamics that can be exploited through networks of symmetrically coupled identical oscillators. In this work, ring-based networks of Chua's circuits, the simplest electronic oscillators that perform chaotic and well-known bifurcation phenomena, have been extensively studied in memristive crossbars (Xbar), revealing various collective spatio-temporal behaviors, such as chimera states. With respect to different Xbar connectivities and via SPICE-level circuit simulations, the proposed Xbar system proves its efficacy to reproduce spatio-temporal patterns spanning from complete synchronization and chimera states up to fully chaotic states.

Details

OriginalspracheEnglisch
Titel2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings
Herausgeber (Verlag)IEEE Xplore
Seitenumfang5
ISBN (Print)978-1-7281-9201-7
PublikationsstatusVeröffentlicht - 2021
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheIEEE International Symposium on Circuits and Systems (ISCAS)
ISSN0271-4302

Externe IDs

Scopus 85109045729

Schlagworte