Toward Scalable, Efficient, and Accurate Deep Spiking Neural Networks With Backward Residual Connections, Stochastic Softmax, and Hybridization

Frontiers in Neuroscience
Priyadarshini PandaKaushik Roy

Abstract

Spiking Neural Networks (SNNs) may offer an energy-efficient alternative for implementing deep learning applications. In recent years, there have been several proposals focused on supervised (conversion, spike-based gradient descent) and unsupervised (spike timing dependent plasticity) training methods to improve the accuracy of SNNs on large-scale tasks. However, each of these methods suffer from scalability, latency, and accuracy limitations. In this paper, we propose novel algorithmic techniques of modifying the SNN configuration with backward residual connections, stochastic softmax, and hybrid artificial-and-spiking neuronal activations to improve the learning ability of the training methodologies to yield competitive accuracy, while, yielding large efficiency gains over their artificial counterparts. Note, artificial counterparts refer to conventional deep learning/artificial neural networks. Our techniques apply to VGG/Residual architectures, and are compatible with all forms of training methodologies. Our analysis reveals that the proposed solutions yield near state-of-the-art accuracy with significant energy-efficiency and reduced parameter overhead translating to hardware improvements on complex visual recognition tas...Continue Reading

References

Feb 20, 2007·PLoS Computational Biology·Timothée Masquelier, Simon J Thorpe
Sep 1, 2009·Neural Computation·Timothée MasquelierSimon J Thorpe
Mar 29, 2011·Frontiers in Neuroscience·Carlos Zamarreño-RamosBernabé Linares-Barranco
Oct 21, 2011·Frontiers in Neuroscience·Giacomo Indiveri, Timothy K Horiuchi
Oct 12, 2013·Frontiers in Neuroscience·Peter O'ConnorMichael Pfeiffer
May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
Jan 1, 2015·Frontiers in Computational Neuroscience·Peter U Diehl, Matthew Cook
Nov 1, 2016·Nature Materials·Zhongrui WangJ Joshua Yang
Nov 24, 2016·Frontiers in Neuroscience·Jun Haeng LeeMichael Pfeiffer
Aug 8, 2017·IEEE Transactions on Neural Networks and Learning Systems·Hesham Mostafa
Jan 13, 2018·Neural Networks : the Official Journal of the International Neural Network Society·Saeed Reza KheradpishehTimothée Masquelier
Nov 10, 2018·Frontiers in Neuroscience·Michael Pfeiffer, Thomas Pfeil
Mar 23, 2019·Frontiers in Neuroscience·Abhronil SenguptaKaushik Roy
Nov 30, 2019·Nature·Kaushik RoyPriyadarshini Panda
Jul 17, 2020·Frontiers in Neuroscience·Sen Lu, Abhronil Sengupta

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Citations

Feb 2, 2021·Frontiers in Neuroscience·Xueyuan SheSaibal Mukhopadhyay
Jun 15, 2021·Frontiers in Neuroscience·Yawen LanYuchen Wang
Sep 26, 2021·Scientific Reports·Youngeun Kim, Priyadarshini Panda

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Methods Mentioned

BETA
feature extraction

Software Mentioned

Conv
AGD
Tensorflow
BackRes
PyTorch
ConvNN

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