A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network From Convolutional Neural Network

A Little Energy Goes a Long Way: Build an Energy-Efficient, Accurate Spiking Neural Network From Convolutional Neural Network

This article conforms to a recent trend of developing an energy-efficient Spiking Neural Network (SNN), which takes advantage of the sophisticated training regime of Convolutional Neural Network (CNN) and converts a well-trained CNN to an SNN. We observe that the existing CNN-to-SNN conversion algor...

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Bibliographic Details
Main Authors: Dengyu Wu, Xinping Yi, Xiaowei Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural network (SNN)
spiking network conversion
deep learning
deep neural networks (DNNs)
event-driven neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.759900/full

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