Event-Based Multimodal Spiking Neural Network with Attention Mechanism-Reference-Cited by-同舟云学术

Event-Based Multimodal Spiking Neural Network with Attention Mechanism

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

Liu Qianhui¹,Xing Dong¹,Feng Lang¹,Tang Huajin¹,Pan Gang¹

Affiliation:

1. Zhejiang University,College of Computer Science and Technology,Hangzhou,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746865.pdf?arnumber=9746865

Reference22 articles.

1. Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

2. A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons

3. Rectified linear postsynaptic potential function for backpropagation in deep spiking neural networks;zhang;IEEE Trans Neural Networks Learn Syst,2021

4. HFirst: A Temporal Approach to Object Recognition

5. Spike-train level back-propagation for training deep recurrent spiking neural networks;zhang;NeurIPS,2019

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