METHOD AND APPARATUS FOR NEURAL LEARNING OF NATURAL MULTI SPIKE TRAINS IN SPIKING NEURAL NETWORKS

• 1. 用于尖峰神经网络中的自然多尖峰序列的神经学习的方法和装置 [P] . 中国专利： CN103890787A . 2014-06-25
• 2. 带有异步脉冲调制的人工神经元和尖峰神经元 [P] . 中国专利： CN106575378A . 2017-04-19
• 3. Method and apparatus for neural learning of natural multi-spike trains in spiking neural networks [P] . 美国专利： US9111224B2 . 2015-08-18

  机译： 尖峰神经网络中自然多尖峰火车的神经学习方法和装置

• 4. Method and apparatus for neural learning of natural multi spike trains in spiking neural networks [P] . IN2014CN02127A . 2015-05-29

  机译： 尖峰神经网络中自然多尖峰序列神经学习的方法和装置

• 5. METHOD AND APPARATUS FOR NEURAL LEARNING OF NATURAL MULTI-SPIKE TRAINS IN SPIKING NEURAL NETWORKS [P] . 欧洲知识产权局专利： EP2769339A1 . 2014-08-27

  机译： 尖峰神经网络中自然多峰遗传算法的神经学习方法和装置

• 1. DSNNs:learning transfer from deep neural networks to spiking neural networks [J] . Zhang Lei, Du Zidong, Li Ling, 高技术通讯（英文版） . 2020,第002期
• 2. DETERMINATION OF THE FAVORED PATTERN IN NEURAL SPIKE TRAIN WITH MONTE CARLO METHOD AND TEMPLATE METHOD [J] . 陈筱英, 柴振明 电子科学学刊：英文版 . 1991,第004期
• 3. A Preliminary Study on Connectivism—Constructivism Learning Theory Based on Developmental Cognitive Neuroscience and Spiking Neural Network [J] . Xin Liu, Huailong Li 应用科学（英文） . 2021,第008期
• 4. Efficient hybrid neural network for spike sorting [J] . Hongge Li, Pan Yu, Tongsheng Xia 系统工程与电子技术（英文版） . 2013,第001期
• 5. Supervised learning in multilayer spiking neural networks with inner products of spike trains [J] . Lin Xianghong, Wang Xiangwen, Hao Zhanjun Neurocomputing . 2017,第MAY10期
• 6. Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding [J] . Andre Griming, Ioana Sporea Neural processing letters . 2012,第2期
• 7. Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks [J] . Neftci Emre O., Mostafa Hesham, Zenke Friedemann IEEE Signal Processing Magazine . 2019,第6期
• 8. A Supervised Method for Learning Precise Timing of Multiple Spikes in Spiking Neural Networks [C] . Moses Apambila Agebure, Elkanah Olaosebikan Oyetunji, Edward Yellakuor Baagyere IEEE AFRICON Conference . 2019
• 9. Models of EEG data mining and classification in temporal lobe epilepsy: Wavelet-chaos-neural network methodology and spiking neural networks. [D] . Ghosh Dastidar, Samanwoy. 2007
• 10. Supervised Learning With First-to-Spike Decoding in Multilayer Spiking Neural Networks [O] . Brian Gardner, André Grüning 2021
• 11. Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding [O] . Grüning, A, Sporea, I 2012

• 1. Biological Neural Network Structure and Spike Activity Prediction Based on Multi-Neuron Spike Train Data [J] . Tielin Zhang ,Yi Zeng ,Bo Xu . 智能科学国际期刊（英文） . 2015,第2期
• 2. Web信息抽取中基于神经网络的规则学习方法 [C] . 明廷波 ,左志宏 ,史永刚 . 2005’全国软件与应用学术会议（NASAC） . 2005
• 3. 基于尖峰神经元模型的机器人学习方法研究 [A] . 朱娟 . 2014