机译:训练峰值神经网络以关联时空输入输出峰值模式
Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand;
Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand;
Department of Mathematical Information Engineering, Nihon University, Japan;
Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand,Institute for Neuroinformatics, ETH and University of Zurich, Switzerland;
spiking neural networks; supervised learning; spatio-temporal control; temporal coding;
机译:基于尖峰神经网络的时空模式早期分类的尺度和平移不变方法
机译:使用尖峰神经网络的时空模式学习和早期检测的无监督方法
机译:不断发展的尖峰神经网络,用于个性化建模,时空模式的分类和预测(以中风为例)
机译:训练尖峰神经元关联输入输出尖峰序列的方法
机译:使用穗定时神经网络学习,识别和时空模式的早期分类
机译:时空反向传播训练高性能尖峰神经网络
机译:训练尖峰神经网络以关联时空输入 - 输出尖峰模式