Transient Response and Firing Behaviors of Memristive Neuron Circuit

The signal transmission mechanism of the Resistor-Capacitor (RC) circuit is similar to the intracellular and extracellular signal propagating mechanism of the neuron. Thus, the RC circuit can be utilized as the circuit model of the neuron cell membrane. However, resistors are electronic components w...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in neuroscience Vol. 16; p. 922086
Main Authors Fang, Xiaoyan, Tan, Yao, Zhang, Fengqing, Duan, Shukai, Wang, Lidan
Format Journal Article
LanguageEnglish
Published Lausanne Frontiers Research Foundation 22.06.2022
Frontiers Media S.A
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The signal transmission mechanism of the Resistor-Capacitor (RC) circuit is similar to the intracellular and extracellular signal propagating mechanism of the neuron. Thus, the RC circuit can be utilized as the circuit model of the neuron cell membrane. However, resistors are electronic components with the fixed-resistance and have no memory properties. A memristor is a promising neuro-morphological electronic device with nonvolatile, switching, and nonlinear characteristics. First of all, we consider replacing the resistor in the RC neuron circuit with a memristor, which is named the Memristor-Capacitor (MC) circuit, then the MC neuron model is constructed. We compare the charging and discharging processes between the RC and MC neuron circuits. Secondly, two models are compared under the different external stimuli. Finally, the synchronous and asynchronous activities of the RC and MC neuron circuits are performed. Extensive experimental results suggest that the charging and discharging speed of the MC neuron circuit is faster than that of the RC neuron circuit. Given sufficient time and proper external stimuli, the RC and MC neuron circuits can produce the action potentials. The synchronous and asynchronous phenomena in the two neuron circuits reproduce nonlinear dynamic behaviors of the biological neurons.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Reviewed by: Shuangming Yang, Tianjin University, China; Heba Abunahla, Khalifa University, United Arab Emirates
This article was submitted to Neuromorphic Engineering, a section of the journal Frontiers in Neuroscience
Edited by: Mostafa Rahimi Azghadi, James Cook University, Australia
ISSN:1662-453X
1662-4548
1662-453X
DOI:10.3389/fnins.2022.922086