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Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14
作者:
Wei, Qinglai
;
Han, Liyuan
;
Zhang, Tielin
Adobe PDF(8060Kb)
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浏览/下载:45/2
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提交时间:2024/03/27
Direct dynamic programming (DDP)
Lorenz system
multiscale dynamics
point-to-point control
recursive least square (RLS)
spiking neural network (SNN)
Exploring Explicitly Disentangled Features for Domain Generalization
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:
Li, Jingwei
;
Li, Yuan
;
Wang, Huanjie
;
Liu, Chengbao
;
Tan, Jie
Adobe PDF(2432Kb)
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浏览/下载:96/3
  |  
提交时间:2023/12/21
Domain generalization
feature disentanglement
Fourier transform
data augmentation
A learnable EEG channel selection method for MI-BCI using efficient channel attention
期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:
Tong, Lina
;
Qian, Yihui
;
Peng, Liang
;
Wang, Chen
;
Hou, Zeng-Guang
Adobe PDF(2021Kb)
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浏览/下载:69/3
  |  
提交时间:2023/12/21
brain-computer interface
motor imagery
channel selection
deep learning
attention mechanism
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Chai, Jiajun
;
Zhu, Yuanheng
;
Zhao, Dongbin
Adobe PDF(2469Kb)
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浏览/下载:50/0
  |  
提交时间:2023/11/16
Large-scale multiagent
neighboring communication
reinforcement learning (RL)
variational information flow
Model Predictive Trajectory Tracking Control of an Underactuated Bionic Underwater Vehicle
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:
Wang, Kaihui
;
Zou, Wei
;
Ma, Ruichen
;
Wang, Yu
;
Su, Hu
Adobe PDF(4065Kb)
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浏览/下载:103/4
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提交时间:2023/11/16
Bionic underwater vehicle (BUV)
model predictive control (MPC)
trajectory tracking
undulatory propulsion
Motion Learning and Rapid Generalization for Musculoskeletal Systems Based on Recurrent Neural Network Modulated by Initial States
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1691-1704
作者:
Wang, Xiaona
;
Chen, Jiahao
;
Qiao, Hong
Adobe PDF(2080Kb)
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浏览/下载:117/3
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提交时间:2023/03/20
Muscles
Recurrent neural networks
Mathematical models
Bio-inspired control
Robot kinematics
Tendons
Musculoskeletal system
Biologically inspired control
motor cortex
movement preparation
musculoskeletal system
recurrent neural network (RNN)
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-15
作者:
Fu, Kaicheng
;
Du, Changde
;
Wang, Shengpei
;
He, Huiguang
Adobe PDF(4570Kb)
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浏览/下载:295/70
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提交时间:2022/12/27
Fine-grained Emotion Decoding
Multi-view Learning
Multi-label Learning
Variational Autoencoder
Product of Experts
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:
Wang, Shaoru
;
Gao, Jin
;
Li, Bing
;
Hu, Weiming
Adobe PDF(1489Kb)
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浏览/下载:233/29
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提交时间:2022/11/14
Annotations
Noise measurement
Detectors
Task analysis
Training
Object detection
Degradation
Object detection
noisy label
Bayesian estimation
teacher-student learning
Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication
期刊论文
NONLINEAR DYNAMICS, 2022, 卷号: 109, 页码: 2781-2798
作者:
Pu, Zhiqiang
;
Ai, Xiaolin
;
Yi, Jianqiang
Adobe PDF(1775Kb)
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浏览/下载:284/35
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提交时间:2022/07/25
Multi-agent systems
Integrated game and control
Velocity constraint
Input saturation
Event-triggered communication
Self-Supervised Contact Geometry Learning by GelStereo Visuotactile Sensing
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 9
作者:
Cui, Shaowei
;
Wang, Rui
;
Hu, Jingyi
;
Zhang, Chaofan
;
Chen, Lipeng
;
Wang, Shuo
Adobe PDF(1925Kb)
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浏览/下载:591/303
  |  
提交时间:2022/06/06
Geometry
Sensors
Three-dimensional displays
Estimation
Image reconstruction
Tactile sensors
Color
Depth estimation
robotic sensing systems
self-supervised learning
tactile sensors