Initial Sensitive Dynamics in Memristor Synapse-coupled Hopfield Neural Network

Mo CHEN; Chengjie CHEN; Bocheng BAO; Quan XU

doi:10.11999/JEIT190858

Volume 42 Issue 4

Jun. 2020

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Mo CHEN, Chengjie CHEN, Bocheng BAO, Quan XU. Initial Sensitive Dynamics in Memristor Synapse-coupled Hopfield Neural Network[J]. Journal of Electronics & Information Technology, 2020, 42(4): 870-877. doi: 10.11999/JEIT190858

Citation:

Mo CHEN, Chengjie CHEN, Bocheng BAO, Quan XU. Initial Sensitive Dynamics in Memristor Synapse-coupled Hopfield Neural Network[J]. Journal of Electronics & Information Technology, 2020, 42(4): 870-877. doi: 10.11999/JEIT190858

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Initial Sensitive Dynamics in Memristor Synapse-coupled Hopfield Neural Network

doi: 10.11999/JEIT190858

School of Information Science and Engineering, Changzhou University, Changzhou 213164, China

Funds: The National Natural Science Foundation of China (51777016, 61801054, 61601062), The Postgraduate Research & Practice Innovation Program of Jiangsu Province, China (KYCX19_1767)

Received Date: 2019-11-01
Rev Recd Date: 2020-01-20

Available Online: 2020-03-13

Publish Date: 2020-06-04

Abstract

Abstract

The initial sensitive dynamics in a Hopfield Neural Network (HNN) with three neurons under the action of electromagnetic induction current is reported. A simple 4-D memristive HNN is constructed by using a non-ideal memristor synapse to imitate the electromagnetic induction current caused by membrane potential difference between two adjacent neurons. By means of theoretical analyses and numerical simulations, the complex dynamical behaviors under different coupling strengths of the memristor synapse are researched, and special phenomena closely related to the initial values are revealed. Finally, the analog equivalent realization circuit of the memristive HNN model is designed, and the correctness of MATLAB numerical simulation is verified by PSIM circuit simulations.
- Non-ideal memristor synapse,
- Hopfield Neural Network (HNN),
- Initial condition,
- Numerical simulation

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References(23)

References

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