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Frontiers in Neuroscience
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May 8, 2024
Editorial: Theoretical advances and practical applications of spiking neural networks
Gaetano Di Caterina, Malu Zhang, Jundong Liu
Frontiers in Neuroscience
|
February 13, 2026
Editorial: Theoretical advances and practical applications of spiking neural networks, volume II
Gaetano Di Caterina, Malu Zhang, Jundong Liu
Plos One
|
April 5, 2016
An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks
Xiurui Xie, Hong Qu, Guisong Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
September 11, 2024
Delay learning based on temporal coding in Spiking Neural Networks
Pengfei Sun, Jibin Wu, Malu Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
July 12, 2018
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons
Malu Zhang, Hong Qu, Ammar Belatreche, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
March 20, 2024
A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks
Yuchen Wang, Hanwen Liu, Malu Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 3, 2025
Delayed Memory Unit: Modeling Temporal Dependency Through Delay Gate
Pengfei Sun, Jibin Wu, Malu Zhang, et al.
Frontiers in Neuroscience
|
June 30, 2023
Spiking neural network with working memory can integrate and rectify spatiotemporal features
Yi Chen, Hanwen Liu, Kexin Shi, et al.
International Journal of Neural Systems
|
March 28, 2025
Electroencephalography Decoding with Conditional Identification Generator
Pengfei Sun, Jorg De Winne, Malu Zhang, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
December 12, 2024
Delayed knowledge transfer: Cross-modal knowledge transfer from delayed stimulus to EEG for continuous attention detection based on spike-represented EEG signals
Pengfei Sun, Jorg De Winne, Malu Zhang, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 35) with videos related to
Sort By:
Page
of 4
Frontiers in Neuroscience
|
May 8, 2024
Editorial: Theoretical advances and practical applications of spiking neural networks
Gaetano Di Caterina, Malu Zhang, Jundong Liu
Frontiers in Neuroscience
|
February 13, 2026
Editorial: Theoretical advances and practical applications of spiking neural networks, volume II
Gaetano Di Caterina, Malu Zhang, Jundong Liu
Plos One
|
April 5, 2016
An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks
Xiurui Xie, Hong Qu, Guisong Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
September 11, 2024
Delay learning based on temporal coding in Spiking Neural Networks
Pengfei Sun, Jibin Wu, Malu Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
July 12, 2018
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons
Malu Zhang, Hong Qu, Ammar Belatreche, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
March 20, 2024
A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks
Yuchen Wang, Hanwen Liu, Malu Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 3, 2025
Delayed Memory Unit: Modeling Temporal Dependency Through Delay Gate
Pengfei Sun, Jibin Wu, Malu Zhang, et al.
Frontiers in Neuroscience
|
June 30, 2023
Spiking neural network with working memory can integrate and rectify spatiotemporal features
Yi Chen, Hanwen Liu, Kexin Shi, et al.
International Journal of Neural Systems
|
March 28, 2025
Electroencephalography Decoding with Conditional Identification Generator
Pengfei Sun, Jorg De Winne, Malu Zhang, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
December 12, 2024
Delayed knowledge transfer: Cross-modal knowledge transfer from delayed stimulus to EEG for continuous attention detection based on spike-represented EEG signals
Pengfei Sun, Jorg De Winne, Malu Zhang, et al.
Page
of 4