[1] PONULAK F,KASINSKI A.Introduction to spiking neural networks:information processing,learning and applications[J].Acta Neurobiologiae Experimentalis,2011,71(4):409-433. [2] BOHTE S M,KOK J N,LA POUTR'E J A.Error-backpropagation in temporally encoded networks of spiking neurons[J].Neurocomputing,2002,48(1/4):17-37. [3] MCKENNOCH S,LIU D,BUSHNELL L G.Fast modifications of the spikeprop algorithm[C]//Proceedings of International Joint Conference on Neural Networks.Washington D.C.,USA:IEEE Press,2006:3970-3977. [4] SILVA S M,RUANO A E.Application of levenberg-marquardt method to the training of spiking neural networks[C]//Proceedings of the International Conference on Neural Networks and Brain.Washington D.C.,USA:IEEE Press,2005:1354-1358. [5] SCHRAUWEN B,CAMPENHOUT J V.Extending spike-prop[C]//Proceedings of International Joint Conference on Neural Networks.Washington D.C.,USA:IEEE Press,2004:471-476. [6] BOOIJ O,NGUYEN H T.A gradient descent rule for multiple spiking neurons emitting multiple spikes[J].Information Processing Letters,2005,95(6):552-558. [7] XU Yan,ZENG Xiaoqin,HAN Lixin,et al.A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks[J].Neural Networks,2013,43(4):99-113. [8] 徐彦.基于梯度下降的脉冲神经元在线学习方法[J].计算机工程,2015,41(12):150-155,160. [9] XU Yan,YANG Jing,ZHONG Shuiming.An online supervised learning method based on gradient descent for spiking neurons[J].Neural Networks,2017,93:7-20. [10] FLORIAN R V.The chronotron:a neuron that learns to fire temporally precise spike patterns[EB/OL].[2018-05-21].https://www.ncbi.nlm.nih.gov/pubmed/22879876. [11] VICTOR J D,PURPURA K P.Nature and precision of temporal coding in visual cortex:a metric-space analysis[J].Journal of Neurophysiology,1996,76(2):1310-1326. [12] MARKRAM H,TSODYKS M.Redistribution of synaptic efficacy between neocortical pyramidal neurons[J].Nature,1996,382(6594):807-810. [13] PONULAK F,KASINSKI A.Supervised learning in spiking neural networks with ReSuMe:sequence learning,classification and spike shifting[J].Neural Computation,2010,22(2):467-510. [14] 徐彦,杨静.脉冲神经元序列学习方法的影响因素研究[J].计算机工程,2015,41(11):194-201. [15] XU Yan,ZENG Xiaoqin,ZHONG Shuiming.A new supervised learning algorithm for spiking neurons[J].Neural Computation,2013,25(6):1472-1511. [16] MOHEMMED A,SCHLIEBS S,MATSUDA S,et al.Training spiking neural networks to associate spatio-temporal input-output spike patterns[J].Neurocomputing,2013,107(4):3-10. [17] YU Qiang,TANG Huajin,TAN K C,et al.Precise-spike-driven synaptic plasticity:learning hetero-association of spatiotemporal spike patterns[EB/OL].[2018-05-21].https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0078318. [18] LIN Xianghong,ZHANG Ning,WANG Xiangwen.An online supervised learning algorithm based on nonlinear spike train kernels[C]//Proceedings of International Conference on Intelligent Computing.Berlin,Germany:Springer,2015:106-115. [19] GARDNER B,GRÜNING A.Supervised learning in spiking neural networks for precise temporal encoding[EB/OL].[2018-05-21].https://www.ncbi.nlm.nih.gov/pubmed/27532262. [20] 徐彦,熊迎军,杨静.脉冲神经元脉冲序列学习方法综述[J].计算机应用,2018,38(6):1527-1534.. [21] XU Bo,GONG Yubing,WANG Baoying.Delay-induced firing behavior and transitions in adaptive neuronal networks with two types of synapses[J].Science China Chemistry,2013,56(2):222-229. [22] SCHRAUWEN B,CAMPENHOUT J V.Extending SpikeProp[C]//Proceedings of IEEE International Joint Conference on Neural Network.Washington D.C.,USA:IEEE Press,2004:471-475. [23] TAHERKHANI A,BELATRECHE A,LI Yuhua,et al.DL-ReSuMe:a delay learning-based remote supervised method for spiking neurons[C]//Proceedings of International Conference on Neural Information Processing.Berlin,Germany:Springer,2015:190-197. |