Qiang Yu
TitleCited byYear
Precise-spike-driven synaptic plasticity: Learning hetero-association of spatiotemporal spike patterns
Q Yu, H Tang, KC Tan, H Li
Plos one 8 (11), e78318, 2013
992013
Rapid feedforward computation by temporal encoding and learning with spiking neurons
Q Yu, H Tang, KC Tan, H Li
IEEE transactions on neural networks and learning systems 24 (10), 1539-1552, 2013
952013
A brain-inspired spiking neural network model with temporal encoding and learning
Q Yu, H Tang, KC Tan, H Yu
Neurocomputing 138, 3-13, 2014
492014
A spiking neural network system for robust sequence recognition
Q Yu, R Yan, H Tang, KC Tan, H Li
IEEE Transactions on Neural Networks and Learning Systems 27 (3), 621 - 635, 2016
452016
Temporal coding of local spectrogram features for robust sound recognition
J Dennis, Q Yu, H Tang, HD Tran, H Li
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
372013
Pattern recognition computation in a spiking neural network with temporal encoding and learning
Q Yu, KC Tan, H Tang
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7, 2012
122012
Spike timing or rate? Neurons learn to make decisions for both through threshold-driven plasticity
Q Yu, H Li, KC Tan
IEEE transactions on cybernetics 49 (6), 2178-2189, 2018
102018
Neuromorphic Cognitive Systems
Q Yu, H Tang, J Hu, KC Tan
Springer International Publishing AG, Cham, 2017
92017
A bio-inspired feedforward system for categorization of AER motion events
B Zhao, Q Yu, H Yu, S Chen, H Tang
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), 9-12, 2013
42013
Associative memory model of hippocampus CA3 using spike response neurons
CH Tan, EY Cheu, J Hu, Q Yu, H Tang
International conference on neural information processing, 493-500, 2011
42011
Efficient multi-spike learning with tempotron-like ltp and psd-like ltd
Q Yu, L Wang, J Dang
International Conference on Neural Information Processing, 545-554, 2018
32018
Neuronal classifier for both rate and timing-based spike patterns
Q Yu, L Wang, J Dang
International Conference on Neural Information Processing, 759-766, 2017
32017
Rapid feedforward computation by temporal encoding and learning with spiking neurons
Q Yu, H Tang, J Hu, KC Tan
Neuromorphic Cognitive Systems, 19-41, 2017
32017
Learning real-world stimuli by single-spike coding and tempotron rule
H Tang, Q Yu, KC Tan
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-6, 2012
32012
Application of precise-spike-driven rule in spiking neural networks for optical character recognition
Q Yu, SK Goh, H Tang, KC Tan
Proceedings of the 18th Asia Pacific Symposium on Intelligent and …, 2015
22015
A Multi-spike Approach for Robust Sound Recognition
Q Yu, Y Yao, L Wang, H Tang, J Dang
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
12019
Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning
Q Yu, Y Yao, L Wang, H Tang, J Dang, KC Tan
arXiv preprint arXiv:1902.01094, 2019
12019
Gender-Aware CNN-BLSTM for Speech Emotion Recognition
L Zhang, L Wang, J Dang, L Guo, Q Yu
International Conference on Artificial Neural Networks, 782-790, 2018
12018
Temporal learning in multilayer spiking neural networks through construction of causal connections
Q Yu, H Tang, J Hu, KC Tan
Neuromorphic Cognitive Systems, 115-129, 2017
12017
A hierarchically organized memory model with temporal population coding
Q Yu, H Tang, J Hu, KC Tan
Neuromorphic Cognitive Systems, 131-152, 2017
12017
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Articles 1–20