Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm

Author:

Sboev Aleksandr,Serenko Alexey,Rybka Roman,Vlasov Danila,Filchenkov Andrey

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

1. R. Legenstein, C. Naeger, W. Maass, What can a neuron learn with Spike-Timing-Dependent Plasticity, Neural Computation 17 (2005) 2337–2382.

2. P. U. Diehl, M. Cook, Unsupervised learning of digit recognition using Spike-Timing-Dependent plasticity, Frontiers in Computational Neuroscience.

3. Spike Timing Dependent Plasticity finds the start of repeating patterns in continuous spike trains;Masquelier;PloS one,2008

4. On the effect of stabilizing mean firing rate of a neuron due to STDP;Sboev;Procedia Computer Science,2017

5. Phenomenological models of synaptic plasticity based on spike timing;Morrison;Biological Cybernetics,2008

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