Literature DB >> 23496469

Complex dynamics and scale invariance of one-dimensional memristive networks.

Yuriy V Pershin1, Valeriy A Slipko, Massimiliano Di Ventra.   

Abstract

Memristive systems, namely, resistive systems with memory, are currently attracting considerable attention. Here we show that even the simplest one-dimensional network formed by the most common memristive elements with voltage threshold bears nontrivial physical properties. In particular, by taking into account the single element variability we find (1) dynamical acceleration and slowing down of the total resistance in adiabatic processes, (2) dependence of the final state on the history of the input signal with same initial conditions, (3) existence of switching avalanches in memristive ladders, and (4) independence of the dynamics voltage threshold with respect to the number of memristive elements in the network (scale invariance). An important criterion for this scale invariance is the presence of memristive systems with very small threshold voltages in the ensemble. These results elucidate the role of memory in complex networks and are relevant to technological applications of these systems.

Mesh:

Year:  2013        PMID: 23496469     DOI: 10.1103/PhysRevE.87.022116

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  5 in total

1.  Function projective synchronization of memristor-based Cohen-Grossberg neural networks with time-varying delays.

Authors:  Abdujelil Abdurahman; Haijun Jiang; Kaysar Rahman
Journal:  Cogn Neurodyn       Date:  2015-08-05       Impact factor: 5.082

2.  Dynamical stochastic simulation of complex electrical behavior in neuromorphic networks of metallic nanojunctions.

Authors:  F Mambretti; M Mirigliano; E Tentori; N Pedrani; G Martini; P Milani; D E Galli
Journal:  Sci Rep       Date:  2022-07-18       Impact factor: 4.996

3.  Maximum Power Game as a Physical and Social Extension of Classical Games.

Authors:  Pilwon Kim
Journal:  Sci Rep       Date:  2017-03-08       Impact factor: 4.379

4.  Memristive Sisyphus circuit for clock signal generation.

Authors:  Yuriy V Pershin; Sergey N Shevchenko; Franco Nori
Journal:  Sci Rep       Date:  2016-05-20       Impact factor: 4.379

5.  Information dynamics in neuromorphic nanowire networks.

Authors:  Ruomin Zhu; Joel Hochstetter; Alon Loeffler; Adrian Diaz-Alvarez; Tomonobu Nakayama; Joseph T Lizier; Zdenka Kuncic
Journal:  Sci Rep       Date:  2021-06-22       Impact factor: 4.379

  5 in total

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