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Yet Another Effective Dendritic Neuron Model Based on the Activity of Excitation and Inhibition.

Authors :
Yang, Yifei
Li, Xiaosi
Li, Haotian
Zhang, Chaofeng
Todo, Yuki
Yang, Haichuan
Source :
Mathematics (2227-7390); Apr2023, Vol. 11 Issue 7, p1701, 23p
Publication Year :
2023

Abstract

Neuronal models have remained an important area of research in computer science. The dendritic neuron model (DNM) is a novel neuronal model in recent years. Previous studies have focused on training DNM using more appropriate algorithms. This paper proposes an improvement to DNM based on the activity of excitation and proposes three new models. Each of the three improved models are designed to mimic the excitation and inhibition activity of neurons. The improved model proposed in this paper is shown to be effective in the experimental part. All three models and original DNM have their own strengths, so it can be considered that the new model proposed in this paper well enriches the diversity of neuronal models and contributes to future research on networks models. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22277390
Volume :
11
Issue :
7
Database :
Complementary Index
Journal :
Mathematics (2227-7390)
Publication Type :
Academic Journal
Accession number :
163043051
Full Text :
https://doi.org/10.3390/math11071701