Efficient Structure Slimming for Spiking Neural Networks-Reference-Cited by-同舟云学术

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Efficient Structure Slimming for Spiking Neural Networks

Published:2024-08 Issue:8 Volume:5 Page:3823-3831
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Li Yaxin¹^ORCID,Fang Xuanye¹,Gao Yuyuan¹,Zhou Dongdong¹^ORCID,Shen Jiangrong²^ORCID,Liu Jian K.³,Pan Gang²^ORCID,Xu Qi¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Dalian University of Technology, Dalian, China

2. College of Computer Science and Technology, Zhejiang University, Zhejiang, China

3. College of Engineering and Physical Sciences, University of Birmingham, Birmingham, U.K.

Funder

National Natural Science Foundation of China

Open Project of Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Anhui University

Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9078688/10635096/10391076.pdf?arnumber=10391076

Reference36 articles.

1. Analysis of neurogenesis and programmed cell death reveals a self-renewing capacity in the adult rat brain

2. Dynamics of Hippocampal Neurogenesis in Adult Humans

3. Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization

4. Pruning of Deep Spiking Neural Networks through Gradient Rewiring

5. State transition of dendritic spines improves learning of sparse spiking neural networks;Chen,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Color Image Encryption Based on a Novel Fourth-Direction Hyperchaotic System;Electronics;2024-06-07

2. Brain topology improved spiking neural network for efficient reinforcement learning of continuous control;Frontiers in Neuroscience;2024-04-16

3. Toward Efficient Deep Spiking Neuron Networks: A Survey on Compression;Communications in Computer and Information Science;2024

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