Effective calculations on neuromorphic hardware based on spiking neural network approaches

The nowadays’ availability of neural networks designed on power-efficient neuromorphic computing architectures gives rise to the question of applying spiking neural networks to practical machine learning tasks. A spiking network can be used in the classification task after mapping synaptic weights f...

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Veröffentlicht in:	Lobachevskii journal of mathematics 2017-09, Vol.38 (5), p.964-966
Hauptverfasser:	Sboev, A. G., Serenko, A. V., Vlasov, D. S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algebra Analysis Classification Geometry Machine learning Mapping Mathematical Logic and Foundations Mathematics Mathematics and Statistics Neural networks Neuromorphic computing Probability Theory and Stochastic Processes Spiking
Online-Zugang:	Volltext
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