Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yannan Xing"'
Autor:
Man Yao, Ole Richter, Guangshe Zhao, Ning Qiao, Yannan Xing, Dingheng Wang, Tianxiang Hu, Wei Fang, Tugba Demirci, Michele De Marchi, Lei Deng, Tianyi Yan, Carsten Nielsen, Sadique Sheik, Chenxi Wu, Yonghong Tian, Bo Xu, Guoqi Li
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract By mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence. How to borrow high-level brain dynamic mec
Externí odkaz:
https://doaj.org/article/704b1a6e4b894a82bdb9e28f5457d982
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2024)
The primary approaches used to train spiking neural networks (SNNs) involve either training artificial neural networks (ANNs) first and then transforming them into SNNs, or directly training SNNs using surrogate gradient techniques. Nevertheless, bot
Externí odkaz:
https://doaj.org/article/21a1a4450b204348a2a63178146cc57b
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
The combination of neuromorphic visual sensors and spiking neural network offers a high efficient bio-inspired solution to real-world applications. However, processing event- based sequences remains challenging because of the nature of their asynchro
Externí odkaz:
https://doaj.org/article/8c89109873354e0da4619f4fe4ee59d4
Autor:
Qing Wan, Changjin Wan, Huaqiang Wu, Yuchao Yang, Xiaohe Huang, Peng Zhou, Lin Chen, Tian-Yu Wang, Yi Li, Kan-Hao Xue, Yu-Hui He, Xiang-Shui Miao, Xi Li, Chenchen Xie, Houpeng Chen, Zhitang Song, Hong Wang, Yue Hao, Junyao Zhang, Jia Huang, Zheng Yu Ren, Li Qiang Zhu, Jianyu Du, Chen Ge, Yang Liu, Guanglong Ding, Ye Zhou, Su-Ting Han, Guosheng Wang, Xiao Yu, Bing Chen, Zhufei Chu, Lunyao Wang, Yinshui Xia, Chen Mu, Feng Lin, Chixiao Chen, Bojun Cheng, Yannan Xing, Weitao Zeng, Hong Chen, Lei Yu, Giacomo Indiveri, Ning Qiao
Publikováno v:
Neuromorphic Computing and Engineering. 2:042501
The data throughput in the von Neumann architecture-based computing system is limited by its separated processing and memory structure, and the mismatching speed between the two units. As a result, it is quite difficult to improve the energy efficien
Publikováno v:
IJCNN
Novel technologies for EMG (Electromyogram) based hand gesture recognition have been investigated for many industrial applications. In this paper, a novel approach which is based on a specific designed spiking convolution neural network which is fed
Publikováno v:
ICMLC
12th International Conference on Machine Learning and Computing
12th International Conference on Machine Learning and Computing
Hand gesture recognition in myoelectric based prosthetic devices is a key challenge to offering effective solutions to hand/lower arm amputees. A novel hand gesture recognition methodology that employs the difference of EMG energy heatmaps as the inp
Recurrent spiking neurons with lateral inhibition connection play a vital role in human’s brain functional abilities. In this paper, we propose a novel noise reduction method that is based on neuron rate coding and bio-inspired spiking neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::349f0c529ff77dbe73eef1c719e0460f
https://strathprints.strath.ac.uk/70448/1/Xing_etal_IJMLC_2019_Noise_reduction_using_neural_lateral_inhibition_for_speech_enhancement.pdf
https://strathprints.strath.ac.uk/70448/1/Xing_etal_IJMLC_2019_Noise_reduction_using_neural_lateral_inhibition_for_speech_enhancement.pdf
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2018 ISBN: 9783030014179
ICANN (1)
27th International Conference on Artificial Neural Networks
ICANN (1)
27th International Conference on Artificial Neural Networks
Convolutional Neural Networks (CNNs) have exhibited certain human-like performance on computer vision related tasks. Over the past few years since they have outperformed conventional algorithms in a range of image processing problems. However, to uti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95a9a7a4eb7b87669f1b54d732c338af
https://doi.org/10.1007/978-3-030-01418-6_78
https://doi.org/10.1007/978-3-030-01418-6_78
Autor:
Yannan Xing, He Zhongqiu
Publikováno v:
2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.
Multiple transmit-and-receive antennas can be used in orthogonal frequency division multiplexing (OFDM) systems to improve communication quality and capacity. In this paper, an improved channel estimation for MIMO-OFDM system is proposed by exploitin
Autor:
He Zhongqiu, Yannan Xing
Publikováno v:
2008 4th International Conference on Wireless Communications, Networking & Mobile Computing; 2008, p1-5, 5p