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自动化研究所 [7]

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	A multimodal approach to estimating vigilance in SSVEP-based BCI 期刊论文 EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 225, 页码: 16 作者: Wang, Kangning; Qiu, Shuang; Wei, Wei; Zhang, Yukun; Wang, Shengpei 收藏 \| 浏览/下载：4/0 \| 提交时间：2023/11/17 Vigilance estimation Brain -computer interface (BCI) Graph neural network Electroencephalogram (EEG) Steady-state visual evoked potential (SSVEP) Multimodal fusion
	Emotional brain network decoded by biological spiking neural network 期刊论文 FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 17 作者: Xu, Hubo; Cao, Kexin; Chen, Hongguang; Abudusalamu, Awuti; Wu, Wei 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/11/17 emotion affective computing brain network neural oscillation neuroregulation self-backpropagation spiking neural network brain-computer interface
	INN: Interfaced neural networks as an accessible meshless approach for solving interface PDE problems 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 470, 页码: 18 作者: Wu, Sidi; Lu, Benzhuo 收藏 \| 浏览/下载：5/0 \| 提交时间：2023/02/07 Interface problems Multiple-gradient descent Neural network PDEs
	Synergy-based Neural Interface for Human Gait Tracking with Deep Learning 期刊论文 IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 卷号: 29, 页码: 2271-2280 作者: Xiong DZ(熊德臻); Zhang DH(张道辉); Zhao XG(赵新刚); Chu YQ(褚亚奇); Zhao YW(赵忆文) 收藏 \| 浏览/下载：15/0 \| 提交时间：2021/11/21 Muscle synergy neural interface EMG deep learning gait tracking
	Toward Improving Engagement in Neural Rehabilitation: Attention Enhancement Based on Brain-Computer Interface and Audiovisual Feedback 期刊论文 IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2020, 卷号: 12, 期号: 4, 页码: 787-796 作者: Wang, Jiaxing; Wang, Weiqun; Hou, Zeng-Guang 收藏 \| 浏览/下载：30/0 \| 提交时间：2021/03/02 Avatars Electroencephalography Training Games Real-time systems Task analysis Stroke (medical condition) Attention enhancement brain– computer interface (BCI) electroencephalogram (EEG) neural rehabilitation virtual reality
	Neural Encoding and Decoding With Distributed Sentence Representations 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 0, 期号: 0, 页码: 0 作者: jingyuan sun; shaonan wang; jiajun zhang; chengqing zong 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/10/13 brain-machine interface, distributed semantic representations, neural decoding, neural encoding
	Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122 作者: Sajjad Afrakhteh; Mohammad-Reza Mosavi; Mohammad Khishe; Ahmad Ayatollahi 收藏 \| 浏览/下载：7/0 \| 提交时间：2021/02/22 Brain-computer interface (BCI) classification electroencephalography (EEG) gravitational search algorithm (GSA) multi-layer perceptron neural network (MLP-NN) particle swarm optimization.
	EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation. 期刊论文 IEEE Transactions on Neural Networks & Learning Systems, 2019, 卷号: Vol.30 No.9, 页码: 2755-2763 作者: Gao, Zhongke; Wang, Xinmin; Yang, Yuxuan; Mu, Chaoxu; Cai, Qing 收藏 \| 浏览/下载：28/0 \| 提交时间：2019/11/21 Brain modeling Brain–computer interface (BCI) Convolution convolutional neural network (CNN) deep learning (DL) electroencephalogram (EEG) Electroencephalography Fatigue fatigue driving Feature extraction Physiology spatio–temporal data Task analysis
	Methodologies for Evaluating and Optimizing Multimodal Human-Machine-Interface of Autonomous Vehicles 会议论文作者: Ge, Xinyu; Li, Xinyu; Wang, Ying 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/19 Automotive applications Cost-effective solutions Driving assistance systems Human Machine Interface Human-machine interface system Learning neural networks Multimodal communications Original equipment manufacturers
	An Amplitudes-Perturbation Data Augmentation Method in Convolutional Neural Networks for EEG Decoding 会议论文 2018 International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2018 作者: Zhang, X.-R.; Lei, M.-Y.; Li, Y. 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Brain computer interface Convolution Cutting tools Decoding Deep learning Electroencephalography Electrophysiology Frequency domain analysis Neural networks Perturbation techniques Convolutional neural network Data augmentation Frequency domains Learning models Neural information Number of samples Signal recognition State of the art Biomedical signal processing

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