Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning

Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning

Spiking Neural Networks (SNNs) are fast becoming a promising candidate for brain-inspired neuromorphic computing because of their inherent power efficiency and impressive inference accuracy across several cognitive tasks such as image classification and speech recognition. The recent efforts in SNNs...

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Bibliographic Details
Main Authors: Chankyu Lee, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural network
convolutional neural network
spike-based learning rule
spike timing dependent plasticity
gradient descent backpropagation
leaky integrate and fire neuron
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00435/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2018.00435/full

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