Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications

Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications

In the last few years, spiking neural networks (SNNs) have been demonstrated to perform on par with regular convolutional neural networks. Several works have proposed methods to convert a pre-trained CNN to a Spiking CNN without a significant sacrifice of performance. We demonstrate first that quant...

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Bibliographic Details
Main Authors: Martino Sorbaro, Qian Liu, Massimo Bortone, Sadique Sheik
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Neuroscience
Subjects:
neuromorphic computing
spiking networks
loss function
synaptic operations
energy consumption
convolutional networks
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00662/full

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https://www.frontiersin.org/article/10.3389/fnins.2020.00662/full

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