Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning

Author:

Nguyen Thao N. N.1,Veeravalli Bharadwaj1,Fong Xuanyao1

Affiliation:

1. National University of Singapore

Funder

National University of Singapore

Agency for Science, Technology and Research

Ministry of Education - Singapore

Publisher

ACM

Reference31 articles.

1. Spiking networks for improved cognitive abilities of edge computing devices

2. Structural Plasticity on the SpiNNaker Many-Core Neuromorphic System

3. Fast and Efficient Deep Sparse Multi-Strength Spiking Neural Networks with Dynamic Pruning

4. Lei Deng Yujie Wu Yifan Hu Ling Liang Guoqi Li Xing Hu Yufei Ding Peng Li and Yuan Xie. 2019. Comprehensive snn compression using admm optimization and activity regularization. arXiv preprint arXiv:1911.00822(2019). Lei Deng Yujie Wu Yifan Hu Ling Liang Guoqi Li Xing Hu Yufei Ding Peng Li and Yuan Xie. 2019. Comprehensive snn compression using admm optimization and activity regularization. arXiv preprint arXiv:1911.00822(2019).

5. Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing

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1. Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09

2. Hardware Implementation for Spiking Neural Networks on Edge Devices;Predictive Analytics in Cloud, Fog, and Edge Computing;2022-09-22

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