Exploring the Connection Between Binary and Spiking Neural Networks

Frontiers in Neuroscience
Sen Lu, Abhronil Sengupta

Abstract

On-chip edge intelligence has necessitated the exploration of algorithmic techniques to reduce the compute requirements of current machine learning frameworks. This work aims to bridge the recent algorithmic progress in training Binary Neural Networks and Spiking Neural Networks-both of which are driven by the same motivation and yet synergies between the two have not been fully explored. We show that training Spiking Neural Networks in the extreme quantization regime results in near full precision accuracies on large-scale datasets like CIFAR-100 and ImageNet. An important implication of this work is that Binary Spiking Neural Networks can be enabled by "In-Memory" hardware accelerators catered for Binary Neural Networks without suffering any accuracy degradation due to binarization. We utilize standard training techniques for non-spiking networks to generate our spiking networks by conversion process and also perform an extensive empirical analysis and explore simple design-time and run-time optimization techniques for reducing inference latency of spiking networks (both for binary and full-precision models) by an order of magnitude over prior work. Our implementation source code and trained models are available at https://gi...Continue Reading

References

Mar 11, 2006·IEEE Transactions on Neural Networks·Giacomo IndiveriRodney Douglas
May 24, 2016·IEEE Transactions on Biomedical Circuits and Systems·Abhronil SenguptaKaushik Roy
Jun 15, 2017·Frontiers in Neuroscience·Hongmin LiLuping Shi
Feb 23, 2018·Neural Networks : the Official Journal of the International Neural Network Society·Lei DengGuoqi Li
Nov 10, 2018·Frontiers in Neuroscience·Michael Pfeiffer, Thomas Pfeil
Jan 12, 2019·Frontiers in Neuroinformatics·Hananel HazanRobert Kozma
Mar 23, 2019·Frontiers in Neuroscience·Abhronil SenguptaKaushik Roy
Oct 7, 2019·Neural Networks : the Official Journal of the International Neural Network Society·Lei DengYuan Xie

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Citations

Feb 2, 2021·Frontiers in Neuroscience·Mehul RastogiAbhronil Sengupta

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Methods Mentioned

BETA
chips

Software Mentioned

PyTorch
ImageNet
ADAM
BindsNET
XNOR
Net

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