受强制性开放获取政策约束的文章 - Rui Yan了解详情
无法在其他位置公开访问的文章：39 篇
An FPGA implementation of deep spiking neural networks for low-power and fast classification
X Ju, B Fang, R Yan, X Xu, H Tang
Neural computation 32 (1), 182-204, 2020
强制性开放获取政策： 国家自然科学基金委员会
DA-DSUnet: dual attention-based dense SU-net for automatic head-and-neck tumor segmentation in MRI images
P Tang, C Zu, M Hong, R Yan, X Peng, J Xiao, X Wu, J Zhou, L Zhou, ...
Neurocomputing 435, 103-113, 2021
强制性开放获取政策： 国家自然科学基金委员会
Cognitive navigation by neuro-inspired localization, mapping, and episodic memory
H Tang, R Yan, KC Tan
IEEE Transactions on Cognitive and Developmental Systems 10 (3), 751-761, 2017
强制性开放获取政策： 国家自然科学基金委员会
An event-driven categorization model for AER image sensors using multispike encoding and learning
R Xiao, H Tang, Y Ma, R Yan, G Orchard
IEEE transactions on neural networks and learning systems 31 (9), 3649-3657, 2019
强制性开放获取政策： 国家自然科学基金委员会
Deep spiking neural networks with binary weights for object recognition
Y Wang, Y Xu, R Yan, H Tang
IEEE Transactions on Cognitive and Developmental Systems 13 (3), 514-523, 2020
强制性开放获取政策： 国家自然科学基金委员会
Cognitive memory and mapping in a brain-like system for robotic navigation
H Tang, W Huang, A Narayanamoorthy, R Yan
Neural Networks 87, 27-37, 2017
强制性开放获取政策： 国家自然科学基金委员会
Sparse temporal encoding of visual features for robust object recognition by spiking neurons
Y Zheng, S Li, R Yan, H Tang, KC Tan
IEEE transactions on neural networks and learning systems 29 (12), 5823-5833, 2018
强制性开放获取政策： 国家自然科学基金委员会
A spiking neural network model for sound recognition
R Xiao, R Yan, H Tang, KC Tan
Cognitive Systems and Signal Processing: Third International Conference …, 2017
强制性开放获取政策： 国家自然科学基金委员会
Automatic object searching and behavior learning for mobile robots in unstructured environment by deep belief networks
J Wang, VA Shim, R Yan, H Tang, F Sun
IEEE Transactions on Cognitive and Developmental Systems 11 (3), 395-404, 2018
强制性开放获取政策： 国家自然科学基金委员会
Deep spike learning with local classifiers
C Ma, R Yan, Z Yu, Q Yu
IEEE Transactions on Cybernetics 53 (5), 3363-3375, 2022
强制性开放获取政策： 国家自然科学基金委员会
Why grid cells function as a metric for space
S Dang, Y Wu, R Yan, H Tang
Neural Networks 142, 128-137, 2021
强制性开放获取政策： 国家自然科学基金委员会
A structure–time parallel implementation of spike-based deep learning
X Wu, Y Wang, H Tang, R Yan
Neural Networks 113, 72-78, 2019
强制性开放获取政策： 国家自然科学基金委员会
Toward high-accuracy and low-latency spiking neural networks with two-stage optimization
Z Wang, Y Zhang, S Lian, X Cui, R Yan, H Tang
IEEE Transactions on Neural Networks and Learning Systems, 2023
强制性开放获取政策： 国家自然科学基金委员会
Event stream learning using spatio-temporal event surface
J Dong, R Jiang, R Xiao, R Yan, H Tang
Neural Networks 154, 543-559, 2022
强制性开放获取政策： 国家自然科学基金委员会
Attention-based deep spiking neural networks for temporal credit assignment problems
L Qin, Z Wang, R Yan, H Tang
IEEE Transactions on Neural Networks and Learning Systems, 2023
强制性开放获取政策： 国家自然科学基金委员会
An event-based categorization model using spatio-temporal features in a spiking neural network
J Lu, J Dong, R Yan, H Tang
2020 12th International Conference on Advanced Computational Intelligence …, 2020
强制性开放获取政策： 国家自然科学基金委员会
R-snn: Region-based spiking neural network for object detection
X Jin, M Zhang, R Yan, G Pan, D Ma
IEEE Transactions on Cognitive and Developmental Systems, 2023
强制性开放获取政策： 国家自然科学基金委员会
Training deep convolutional spiking neural networks with spike probabilistic global pooling
S Lian, Q Liu, R Yan, G Pan, H Tang
Neural Computation 34 (5), 1170-1188, 2022
强制性开放获取政策： 国家自然科学基金委员会
An event-based hierarchy model for object recognition
Y Nan, R Xiao, S Gao, R Yan
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2342-2347, 2019
强制性开放获取政策： 国家自然科学基金委员会
An improved loop closure detection for RatSLAM
T Gu, R Yan
2019 5th International Conference on Control, Automation and Robotics (ICCAR …, 2019
强制性开放获取政策： 国家自然科学基金委员会
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