Emergence of synchronization in bio-inspired memristor-coupled oscillatory cells

被引:1
|
作者
Ascoli, A. [1 ]
Lanza, V. [2 ]
Corinto, F. [3 ]
Tetzlaff, R. [1 ]
机构
[1] Tech Univ Dresden, Inst Grundlagen Elektrotech & Elekt, 12 Mommsenstr, D-01069 Dresden, Germany
[2] Univ Havre, Lab Math Appliquees Havre, F-76058 Le Havre, France
[3] Politecn Torino, Dept Elect & Telecommun, I-10129 Turin, Italy
来源
关键词
memristor; oscillatory networks; Hindmarsh-Rose neuron; nonlinear dynamics; synchronization;
D O I
10.1587/nolta.5.292
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The nanoscale memristor is a serious candidate to become the core element of novel ultra-high density low-power non-volatile memories and innovative pattern recognition systems based upon oscillatory associative and dynamic memories. Furthermore, this peculiar device also has the potential to capture the behavior of a biological synapse more efficiently and accurately than any conventional electronic emulator since it exhibits the unique capability of performing computation and storing data at the same physical location and at same time. In addition, it has a flux-controlled conductance which is analogous to the ionic flow-controlled synaptic weight. This chapter gives some insight into the mechanisms underlying the emergence of synchronization between two oscillatory cells coupled through an ideal memristor. The investigations show that in some cases the nonlinear dynamics of the memristor play a key role in the development of synchronous oscillations in the two oscillators. This work sheds light on some aspects of the nonlinear behavior of the still largely unexplored memristor, which is doomed to make an impact in integrated circuit design in the years to come.
引用
收藏
页码:292 / 308
页数:17
相关论文
共 50 条
  • [1] Organic Memristor and Bio-Inspired Information Processing
    Erokhin, Victor
    Schuez, Almut
    Fontana, M. P.
    INTERNATIONAL JOURNAL OF UNCONVENTIONAL COMPUTING, 2010, 6 (01) : 15 - 32
  • [2] Synchronization transitions in a discrete memristor-coupled bi-neuron model
    Li, Kexin
    Bao, Bocheng
    Ma, Jun
    Chen, Mo
    Bao, Han
    Chaos, Solitons and Fractals, 2022, 165
  • [3] Bio-Inspired Synchronization for Nanocommunication Networks
    Abadal, Sergi
    Akyildiz, Ian F.
    2011 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE (GLOBECOM 2011), 2011,
  • [4] Synchronization transitions in a discrete memristor-coupled bi-neuron model
    Li, Kexin
    Bao, Bocheng
    Ma, Jun
    Chen, Mo
    Bao, Han
    CHAOS SOLITONS & FRACTALS, 2022, 165
  • [5] Initial-Boosted Behaviors and Synchronization of Memristor-Coupled Memristive Systems
    Chen, Mo
    Luo, Xuefeng
    Zhang, Yunzhen
    Wu, Huagan
    Xu, Quan
    Bao, Bocheng
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2024, 71 (02) : 781 - 793
  • [6] Spiral waves in bio-inspired oscillatory media
    Corinto, Fernando
    Lanza, Valentina
    Gilli, Marco
    PROCEEDINGS OF 2008 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-10, 2008, : 1380 - +
  • [7] Synchronization properties of a bio-inspired neural network
    Ascoli, Alon
    Tetzlaff, Ronald
    Lanza, Valentina
    Corinto, Fernando
    2015 IEEE 15TH INTERNATIONAL CONFERENCE ON NANOTECHNOLOGY (IEEE-NANO), 2015, : 621 - 624
  • [8] Dynamics and synchronization in a memristor-coupled discrete heterogeneous neuron network considering noise
    Yan, Xun
    Li, Zhijun
    Li, Chunlai
    CHINESE PHYSICS B, 2024, 33 (02)
  • [9] Dynamics and synchronization in a memristor-coupled discrete heterogeneous neuron network considering noise
    晏询
    李志军
    李春来
    ChinesePhysicsB, 2024, 33 (02) : 619 - 626
  • [10] Dynamic Behavior Analysis and Synchronization of Memristor-Coupled Heterogeneous Discrete Neural Networks
    Ma, Minglin
    Xiong, Kangling
    Li, Zhijun
    Sun, Yichuang
    MATHEMATICS, 2023, 11 (02)