Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity-Reference-Cited by-同舟云学术

Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity

Published:2023 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhang Anguo¹^ORCID,Shi Jieming¹^ORCID,Wu Junyi²^ORCID,Zhou Yongcheng³^ORCID,Yu Wei³^ORCID

Affiliation:

1. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

2. AI Research Center, Xiamen Meiya Pico Information Company Ltd, and Xiamen Meiya Pico Information Security Research Institute Company Ltd, Xiamen, China

3. Chongqing Key Laboratory of Autonomous Systems and the School of Automation, Chongqing University, Chongqing, China

Funder

Hong Kong RGC ECS

startup fund

from Hong Kong Polytechnic University

Collaborative Research through Tencent Technology Company Ltd.

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10219181.pdf?arnumber=10219181

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