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pro vyhledávání: '"spiking sparsity"'
Spiking Neural Networks (SNNs) are being explored for their potential energy efficiency resulting from sparse, event-driven computations. Many recent works have demonstrated effective backpropagation for deep Spiking Neural Networks (SNNs) by approxi
Externí odkaz:
http://arxiv.org/abs/2003.01250
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
The spiking neural network (SNN) is a possible pathway for low-power and energy-efficient processing and computing exploiting spiking-driven and sparsity features of biological systems. This article proposes a sparsity-driven SNN learning algorithm,
Externí odkaz:
https://doaj.org/article/4d4e335090f842d5858b5cd9e45ae930
Akademický článek
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Autor:
Kang, Lei, Yang, Xu, Zhang, Chi, Yu, Shuangming, Dou, Runjiang, Li, Wenchang, Shi, Cong, Liu, Jian, Wu, Nanjian, Liu, Liyuan
Publikováno v:
Circuits and Systems II: Express Briefs, IEEE Transactions on; November 2023, Vol. 70 Issue: 11 p4226-4230, 5p
Spiking Neural Networks (SNNs), recognized as the third generation of neural networks, are known for their bio-plausibility and energy efficiency, especially when implemented on neuromorphic hardware. However, the majority of existing studies on SNNs
Externí odkaz:
http://arxiv.org/abs/2404.17719
Autor:
Beck, Megan E., Shylendra, Ahish, Sangwan, Vinod K., Guo, Silu, Gaviria Rojas, William A., Yoo, Hocheon, Bergeron, Hadallia, Su, Katherine, Trivedi, Amit R., Hersam, Mark C.
Publikováno v:
Nature Communications; 3/26/2020, Vol. 11 Issue 1, p1-8, 8p
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems; October 2023, Vol. 42 Issue: 10 p3464-3468, 5p
Publikováno v:
Frontiers in Neuroscience; 2024, p1-12, 12p
Autor:
Stanojevic, Ana, Woźniak, Stanisław, Bellec, Guillaume, Cherubini, Giovanni, Pantazi, Angeliki, Gerstner, Wulfram
Publikováno v:
Nature Communications; 8/9/2024, Vol. 15 Issue 1, p1-13, 13p
Autor:
RATHI, NITIN1 rathi2@purdue.edu, CHAKRABORTY, INDRANIL1 ichakra@purdue.edu, KOSTA, ADARSH1 akosta@purdue.edu, SENGUPTA, ABHRONIL2 sengupta@psu.edu, ANKIT, AAYUSH1 aankit@purdue.edu, PANDA, PRIYADARSHINI3 priya.panda@yale.edu, ROY, KAUSHIK1 kaushik@purdue.edu
Publikováno v:
ACM Computing Surveys. Dec2023, Vol. 55 Issue 12, p1-49. 49p.