A Spiking Recurrent Neural Network

Author

Yuan Li
John G. Harris, Missouri University of Science and TechnologyFollow

Abstract

A spiking recurrent neural network implementing an associative memory is proposed. The circuit including four integrate-and-fire (IF) and Willshaw-type binary synapses is designed with the AMI 0.5um CMOS process. A large-scale network is simulated with Matlab and its storage capacity is calculated and analyzed.

Recommended Citation

Y. Li and J. G. Harris, "A Spiking Recurrent Neural Network," Proceedings IEEE Computer Society Annual Symposium on VLSI Emerging Trends in VLSI Systems Design, pp. 321 - 322, Institute of Electrical and Electronics Engineers, Sep 2004.

Department(s)

Electrical and Computer Engineering

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

24 Sep 2004