Ensembling SNNs with STDP Learning on Base of Rate Stabilization for Image Classification

[1]  A. Sboev,et al.  Solving a classification task by spiking neural network with STDP based on rate and temporal input encoding , 2020, Mathematical Methods in the Applied Sciences.

[2]  Sander M. Bohte,et al.  Computing with Spiking Neuron Networks , 2012, Handbook of Natural Computing.

[3]  Adam Krzyżak,et al.  Methods of combining multiple classifiers and their applications to handwriting recognition , 1992, IEEE Trans. Syst. Man Cybern..

[4]  D. Feldman The Spike-Timing Dependence of Plasticity , 2012, Neuron.

[5]  Matthew Cook,et al.  Unsupervised learning of digit recognition using spike-timing-dependent plasticity , 2015, Front. Comput. Neurosci..

[6]  T. Serrano-Gotarredona,et al.  STDP and STDP variations with memristors for spiking neuromorphic learning systems , 2013, Front. Neurosci..

[7]  Ammar Belatreche,et al.  An online supervised learning method for spiking neural networks with adaptive structure , 2014, Neurocomputing.

[8]  Timothée Masquelier,et al.  STDP-based spiking deep neural networks for object recognition , 2016, Neural Networks.

[9]  Alexander Sboev,et al.  To the role of the choice of the neuron model in spiking network learning on base of Spike-Timing-Dependent Plasticity , 2018 .

[10]  Fabien Alibart,et al.  Plasticity in memristive devices for spiking neural networks , 2015, Front. Neurosci..

[11]  Andrey Filchenkov,et al.  Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm , 2018, BICA.