Academic Journal

Dynamic symmetrization in a memristive HR neuron

Bibliographic Details
Title:	Dynamic symmetrization in a memristive HR neuron
Authors:	Keyu Huang, Chunbiao Li, Yongxin Li, Tengfei Lei, Haiyan Fu
Source:	Electronics Letters, Vol 60, Iss 7, Pp n/a-n/a (2024)
Publisher Information:	Wiley, 2024.
Publication Year:	2024
Collection:	LCC:Electrical engineering. Electronics. Nuclear engineering
Subject Terms:	biocybernetics, bioelectric phenomena, chaos, chaos generators, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
More Details:	Abstract The 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.
Document Type:	article
File Description:	electronic resource
Language:	English
ISSN:	1350-911X 0013-5194
Relation:	https://doaj.org/toc/0013-5194; https://doaj.org/toc/1350-911X
DOI:	10.1049/ell2.13170
Access URL:	https://doaj.org/article/fa03d42cf2da44dba84a0666c107f05f
Accession Number:	edsdoj.fa03d42cf2da44dba84a0666c107f05f
Database:	Directory of Open Access Journals

More Details
ISSN:	1350911X 00135194
DOI:	10.1049/ell2.13170
Published in:	Electronics Letters
Language:	English