A spiking neural network system for robust sequence recognition

Q Yu, R Yan, H Tang, KC Tan… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
This paper proposes a biologically plausible network architecture with spiking neurons for
sequence recognition. This architecture is a unified and consistent system with functional …

A Spiking Neural Network System for Robust Sequence Recognition.

Q Yu, R Yan, H Tang, KC Tan, H Li - IEEE Transactions on Neural …, 2015 - europepmc.org
This paper proposes a biologically plausible network architecture with spiking neurons for
sequence recognition. This architecture is a unified and consistent system with functional …

A Spiking Neural Network System for Robust Sequence Recognition

Q Yu, H Tang, J Hu, K Tan Chen, Q Yu, H Tang… - … Cognitive Systems: A …, 2017 - Springer
This chapter presents a biologically plausible network architecture with spiking neurons for
sequence recognition. This architecture is a unified and consistent system with functional …

A spiking neural network system for robust sequence recognition

Q Yu, H Tang, J Hu, KC Tan - Intelligent Systems Reference …, 2017 - research.polyu.edu.hk
This chapter presents a biologically plausible network architecture with spiking neurons for
sequence recognition. This architecture is a unified and consistent system with functional …

[引用][C] A Spiking Neural Network System for Robust Sequence Recognition

Q Yu, R Yan, H Tang, KC Tan, H Li - IEEE Transactions on Neural …, 2016 - cir.nii.ac.jp
A Spiking Neural Network System for Robust Sequence Recognition | CiNii Research CiNii
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A Spiking Neural Network System for Robust Sequence Recognition

Q Yu, R Yan, H Tang, KC Tan… - IEEE transactions on …, 2016 - pubmed.ncbi.nlm.nih.gov
This paper proposes a biologically plausible network architecture with spiking neurons for
sequence recognition. This architecture is a unified and consistent system with functional …

A Spiking Neural Network System for Robust Sequence Recognition

Q Yu, R Yan, H Tang, KC Tan… - IEEE Transactions on …, 2016 - scholars.cityu.edu.hk
This paper proposes a biologically plausible network architecture with spiking neurons for
sequence recognition. This architecture is a unified and consistent system with functional …

[引用][C] A spiking neural network system for robust sequence recognition

Q Yu, R Yan, H Tang, KC Tan, H Li - IEEE transactions on Neural …, 2016 - pure.mpg.de
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A Spiking Neural Network System for Robust Sequence Recognition

Q Yu, H Tang, J Hu, KC Tan - … Cognitive Systems: A Learning …, 2017 - scholars.cityu.edu.hk
This chapter presents a biologically plausible network architecture with spiking neurons for
sequence recognition. This architecture is a unified and consistent system with functional …