A New CMOS Neuron Circuit Based on a Cross-Coupled Current Comparator Structure

Kyoko TSUKANO  Takahiro INOUE  Shoichi KOGA  Fumio UENO  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E75-A   No.7   pp.937-943
Publication Date: 1992/07/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Neural Networks
Keyword: 
CMOS neuron circuits,  neural nets,  

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Summary: 
A new CMOS neuron circuit suitable for VLSI implementation of artificial neural networks is proposed. A cross-coupled current comparator structure is adopted to obtain large differential neuron signals for high-speed multi-input/multi-output neuron operations. In addition, the shape of the output function of the proposed neuron circuit can be modified by simply varying the value of the auxiliary current sources. To estimate the performance of the proposed circuit as an element in a neural network, a 15-bit associative memory based on the Hopfield neural network was designed. The performances of a single 7-input neuron and of the 15-neuron associative memory are confirmed by SPICE simulations.