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Synchronous Behavior for Memristive Synapse-Connected Chay Twin-Neuron Network and Hardware Implementation.

Authors :
Xu, Quan
Tan, Xiao
Zhu, Dong
Chen, Mo
Zhou, Jie
Wu, Huagan
Source :
Mathematical Problems in Engineering. 9/11/2020, p1-12. 12p.
Publication Year :
2020

Abstract

Synchronous behavior can be responsible for the function or dysfunction of a neural network. To employ a memristor with threshold memductance as a bidirectional synapse, a memristive synapse-connected Chay twin-neuron network is constructed. This paper numerically presents the synchronous behavior for four representative firing activities in the memristive twin-neuron network by utilizing time-domain waveforms, synchronized transition states (STSs), and mean synchronization errors (MSEs). Indeed, the synchronous behaviors are truly related to the coupling strength and initial condition of the memristor. Besides, utilizing the powerful XC7Z020 FPGA, a digitally circuit-implemented electro-neuron and the memristive synapse-connected Chay twin-neuron network are made. Thereafter, the four representative firing activities and their STSs are experimentally captured to further confirm the numerical simulations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1024123X
Database :
Academic Search Index
Journal :
Mathematical Problems in Engineering
Publication Type :
Academic Journal
Accession number :
145692836
Full Text :
https://doi.org/10.1155/2020/8218740