Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Zhang, Zongpeng"'
Brain-inspired neuromorphic computing with spiking neural networks (SNNs) is a promising energy-efficient computational approach. However, successfully training SNNs in a more biologically plausible and neuromorphic-hardware-friendly way is still cha
Externí odkaz:
http://arxiv.org/abs/2407.12516
Neuromorphic computing with spiking neural networks is promising for energy-efficient artificial intelligence (AI) applications. However, different from humans who continually learn different tasks in a lifetime, neural network models suffer from cat
Externí odkaz:
http://arxiv.org/abs/2402.11984
Spiking neural networks (SNNs) with event-based computation are promising brain-inspired models for energy-efficient applications on neuromorphic hardware. However, most supervised SNN training methods, such as conversion from artificial neural netwo
Externí odkaz:
http://arxiv.org/abs/2302.00232
Spiking neural networks (SNNs) are promising brain-inspired energy-efficient models. Recent progress in training methods has enabled successful deep SNNs on large-scale tasks with low latency. Particularly, backpropagation through time (BPTT) with su
Externí odkaz:
http://arxiv.org/abs/2210.04195
A deep equilibrium model (DEQ) is implicitly defined through an equilibrium point of an infinite-depth weight-tied model with an input-injection. Instead of infinite computations, it solves an equilibrium point directly with root-finding and computes
Externí odkaz:
http://arxiv.org/abs/2205.13814
Autor:
Zhang, Yingxue, Zhang, Zongpeng, Ai, Yixin, Zhang, Haizhou, Chen, Yan, Ye, Ruiquan, Sun, Liang, Shen, Huolin, Cheng, Qing
Publikováno v:
In International Journal of Biological Macromolecules September 2024 276 Part 2
Spiking neural networks (SNNs) are brain-inspired models that enable energy-efficient implementation on neuromorphic hardware. However, the supervised training of SNNs remains a hard problem due to the discontinuity of the spiking neuron model. Most
Externí odkaz:
http://arxiv.org/abs/2109.14247
Publikováno v:
In Science of the Total Environment 20 May 2024 926
Autor:
Zhang, Zongpeng, Ji, Taoyun, Xiao, Mingqing, Wang, Wen, Yu, Guojing, Lin, Tong, Jiang, Yuwu, Zhou, Xiaohua, Lin, Zhouchen
Publikováno v:
In Biomedical Signal Processing and Control March 2024 89
Publikováno v:
In Science of the Total Environment 20 December 2023 905