Dynamic symmetrization in a memristive HR neuron

Author:

Huang Keyu1ORCID,Li Chunbiao2,Li Yongxin1,Lei Tengfei3,Fu Haiyan3

Affiliation:

1. School of Electronics and Information Engineering Nanjing University of Information Science & Technology Nanjing China

2. School of Artificial Intelligence Nanjing University of Information Science & Technology Nanjing China

3. Collaborative Innovation Center of Memristive Computing Application (CICMCA) Qilu Institute of Technology Jinan China

Abstract

AbstractThe significance of neuronal discharge symmetry lies in its reflection of the stability and orderliness within the neuron's activity. This symmetry is correlated with various issues, including the biophysical properties within neurons, network structures, and synaptic transmission. Memristors are highly analogous to neuronal synapses due to their unique memory properties, allowing them to emulate biological neural synapses. In this work, a memristor is employed into the Hindmarsh‐Rose (HR) neuron as a synapse for the construction of a memristive HR neuron. Accompanied with the introducing of the absolute value and signum function, the derived neurons exhibit complex coexisting symmetric firing patterns. The phenomenon of symmetric firing can effectively simulate the depolarization and hyperpolarization processes of neurons, providing a new approach to study the diversity of the brain.

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of chaotic circuit based on Knowm memristor;Electronics Letters;2024-07-30

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