Axonal Delay as a Short-Term Memory for Feed Forward Deep Spiking Neural Networks-Reference-Cited by-同舟云学术

Axonal Delay as a Short-Term Memory for Feed Forward Deep Spiking Neural Networks

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Sun Pengfei¹,Zhu Longwei²,Botteldooren Dick¹

Affiliation:

1. Ghent University,Belgium

2. A*STAR,Institute for Infocomm Research,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747411.pdf?arnumber=9747411

Reference28 articles.

1. Event Based Weight Update for Learning Infinite Spike Train

2. Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron

3. Rectified linear postsynaptic potential function for backpropagation in deep spiking neural networks;zhang;IEEE Transactions on Neural Networks and Learning Systems,2021

4. Spike-timing-dependent synaptic plasticity can form “zero lag links” for cortical oscillations.

5. Supervised learning in spiking neural networks with synaptic delay-weight plasticity

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