Spiking Neural Network Using Synaptic Transistors and Neuron Circuits for Pattern Recognition With Noisy Images

We demonstrate the hardware implementation of spiking neural network (SNN) with synaptic transistors and neuron circuits. The method of conversion from software fully-connected network (FCN) to hardware SNN with little degradation is discussed. The degradation of classification accuracy is analyzed...

Full description

Bibliographic Details

Published in:	IEEE electron device letters Vol. 39; no. 4; pp. 630 - 633
Main Authors:	Kim, Hyungjin, Hwang, Sungmin, Park, Jungjin, Yun, Sangdoo, Lee, Jong-Ho, Park, Byung-Gook
Format:	Journal Article
Language:	English
Published:	IEEE 01.04.2018
Subjects:	Biological neural networks Degradation Denoising autoencoder (DAE) Hardware neuromorphic system neuron circuit Neurons Noise measurement pattern recognition Software spiking neural network (SNN) synaptic device Transistors
ISSN:	0741-3106, 1558-0563
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!