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Qiang Yu
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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
1922013
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
1642013
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
1482014
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
922016
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, 2019
672019
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
672013
Numerical spiking neural P systems
T Wu, L Pan, Q Yu, KC Tan
IEEE Transactions on Neural Networks and Learning Systems 32 (6), 2443-2457, 2020
652020
Constructing accurate and efficient deep spiking neural networks with double-threshold and augmented schemes
Q Yu, C Ma, S Song, G Zhang, J Dang, KC Tan
IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1714-1726, 2021
472021
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
IEEE Transactions on Neural Networks and Learning Systems, 2020
252020
Neuromorphic cognitive systems
Q Yu, H Tang, J Hu, KC Tan
A Learning and Memory Centered Approach, 2017
222017
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
222012
Gender-aware CNN-BLSTM for speech emotion recognition
L Zhang, L Wang, J Dang, L Guo, Q Yu
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
202018
Fast and accurate classification with a multi-spike learning algorithm for spiking neurons.
R Xiao, Q Yu, R Yan, H Tang
IJCAI, 1445-1451, 2019
182019
Toward efficient processing and learning with spikes: New approaches for multispike learning
Q Yu, S Li, H Tang, L Wang, J Dang, KC Tan
IEEE transactions on cybernetics 52 (3), 1364-1376, 2020
172020
Deep spike learning with local classifiers
C Ma, R Yan, Z Yu, Q Yu
IEEE Transactions on Cybernetics 53 (5), 3363-3375, 2022
152022
Temporal dependent local learning for deep spiking neural networks
C Ma, J Xu, Q Yu
2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021
122021
Synaptic learning with augmented spikes
Q Yu, S Song, C Ma, L Pan, KC Tan
IEEE Transactions on Neural Networks and Learning Systems 33 (3), 1134-1146, 2021
122021
Associative memory model of hippocampus CA3 using spike response neurons
CH Tan, EY Cheu, J Hu, Q Yu, H Tang
Neural Information Processing: 18th International Conference, ICONIP 2011 …, 2011
112011
Temporal encoding and multispike learning framework for efficient recognition of visual patterns
Q Yu, S Song, C Ma, J Wei, S Chen, KC Tan
IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3387-3399, 2021
102021
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
102012
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