Cellular Memristive Dynamical Systems (CMDS)

被引:12
作者
Bavandpour, Mohammad [1 ]
Soleimani, Hamid [2 ]
Bagheri-Shouraki, Saeed [1 ]
Ahmadi, Arash [2 ]
Abbott, Derek [3 ]
Chua, Leon O. [4 ]
机构
[1] Sharif Univ Technol, Dept Elect Engn, Tehran 1136511155, Iran
[2] Razi Univ, Dept Elect Engn, Kermanshah 6714967346, Iran
[3] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia
[4] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
来源
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2014年 / 24卷 / 05期
关键词
Cellular mapping; memristor; Izhikevich neuron model; FitzHugh-Nagumo neuron model; bifurcation analysis; SPIKING NEURON; MODEL; BIFURCATIONS; DESIGN; FPGA;
D O I
10.1142/S021812741430016X
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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.
引用
收藏
页数:22
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