DS4NN: Direct training of deep spiking neural networks with single spike-based temporal coding

DS4NN: Direct training of deep spiking neural networks with single spike-based temporal coding

Backpropagation is the foremost prevalent and common algorithm for training conventional neural networks with deep construction. Here we propose DS4NN, temporal backpropagation for deep spiking neural networks with one spike per neuron. We consider a convolutional spiking neural network consisting o...

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Bibliographic Details
Main Authors: Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh
Format: Article
Language:English
Published: Amirkabir University of Technology 2023-12-01
Series:AUT Journal of Electrical Engineering
Subjects:
deep spiking neural network
temporal backpropagation
single spike-based coding
supervised learning
integrate-and-fire neuron model
Online Access:https://eej.aut.ac.ir/article_5080_802cb5a6c14d7e84c5eb6168b526f23a.pdf
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