Zobrazeno 1 - 10
of 1 727
pro vyhledávání: '"Pei, Jing"'
Autor:
Xu, Mingkun, Yin, Huifeng, Wu, Yujie, Li, Guoqi, Liu, Faqiang, Pei, Jing, Zhong, Shuai, Deng, Lei
In recent years, spiking neural networks (SNNs) have attracted substantial interest due to their potential to replicate the energy-efficient and event-driven processing of biological neurons. Despite this, the application of SNNs in graph representat
Externí odkaz:
http://arxiv.org/abs/2407.20508
Graph representation learning has become a crucial task in machine learning and data mining due to its potential for modeling complex structures such as social networks, chemical compounds, and biological systems. Spiking neural networks (SNNs) have
Externí odkaz:
http://arxiv.org/abs/2403.17040
Autor:
Yin, Huifeng, Zheng, Hanle, Mao, Jiayi, Ding, Siyuan, Liu, Xing, Xu, Mingkun, Hu, Yifan, Pei, Jing, Deng, Lei
Spiking neural networks (SNNs), inspired by the neural circuits of the brain, are promising in achieving high computational efficiency with biological fidelity. Nevertheless, it is quite difficult to optimize SNNs because the functional roles of thei
Externí odkaz:
http://arxiv.org/abs/2403.16674
Autor:
Yunxia Song, Peipei Ma, Jingyang Gao, Chaopei Dong, Zhao Wang, Yifan Luan, Jiafa Chen, Doudou Sun, Pei Jing, Xuecai Zhang, Weibin Song, Zijian Zhou, Jianyu Wu
Publikováno v:
Crop Journal, Vol 12, Iss 3, Pp 836-844 (2024)
Maize seedling blight caused by Fusarium verticillioides is a widely occurring maize disease, but the genetics and mechanisms of resistance are not well understood. In this study, GWAS performed by MLM and 3VmrMLM identified 40 and 20 QTNs, associate
Externí odkaz:
https://doaj.org/article/71a676fdcffa4da29554353b3d18d2cb
Autor:
Yang, Yifei, Xu, Lujie, Xu, Mingkun, Liu, Huan, Liu, Dameng, Duan, Wenrui, Pei, Jing, Li, Huanglong
The classic three-terminal electronic transistors and the emerging two-terminal ion-based memristors are complementary to each other in various nonconventional information processing systems in a heterogeneous integration approach, such as hybrid CMO
Externí odkaz:
http://arxiv.org/abs/2301.01986
The understanding of neural networks as neuron-synapse binaries has been the foundation of neuroscience, and therefore, the emerging neuromorphic computing technology that takes inspiration from the brain. This dogma, however, has been increasingly c
Externí odkaz:
http://arxiv.org/abs/2212.01277
Publikováno v:
In American Journal of Otolaryngology--Head and Neck Medicine and Surgery November-December 2024 45(6)
Publikováno v:
In Nurse Education Today October 2024 141
Publikováno v:
In Journal of Affective Disorders 15 December 2024 367:632-639
Biological spiking neurons with intrinsic dynamics underlie the powerful representation and learning capabilities of the brain for processing multimodal information in complex environments. Despite recent tremendous progress in spiking neural network
Externí odkaz:
http://arxiv.org/abs/2107.06865