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An Online Supervised Learning Algorithm Based on Spike Train Kernel for Spiking Neurons.

, , , , , and . CCWC, page 380-386. IEEE, (2024)

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Supervised learning in multilayer spiking neural networks with inner products of spike trains., , and . Neurocomputing, (2017)A 3D Neuronal Morphology Classification Approach Based on Convolutional Neural Networks., and . ISCID (2), page 244-248. IEEE, (2018)Software Defect Prediction with Spiking Neural Networks., , and . ICONIP (5), volume 1333 of Communications in Computer and Information Science, page 660-667. Springer, (2020)Heterogeneous cryo-EM projection image classification using a two-stage spectral clustering based on novel distance measures., , and . Briefings Bioinform., (2022)Spike-Train Level Unsupervised Learning Algorithm for Deep Spiking Belief Networks., and . ICANN (2), volume 12397 of Lecture Notes in Computer Science, page 634-645. Springer, (2020)Supervised Learning Algorithm Based on Spike Back Reconstruction., and . UEMCON, page 1-7. IEEE, (2022)Gradient Descent Learning Algorithm Based on Spike Selection Mechanism for Multilayer Spiking Neural Networks., , , and . ICONIP (3), volume 13110 of Lecture Notes in Computer Science, page 40-51. Springer, (2021)An Online Supervised Learning Algorithm Based on Spike Train Kernel for Spiking Neurons., , , , , and . CCWC, page 380-386. IEEE, (2024)Credit Risk Assessment Algorithm Using Deep Neural Networks with Clustering and Merging., , , , and . CIS, page 173-176. IEEE Computer Society, (2017)An evolutionary developmental approach for generation of 3D neuronal morphologies using gene regulatory networks., , , and . Neurocomputing, (2018)