Spiking neural network with local plasticity and sparse connectivity for audio classification

Purpose. Studying the possibility of implementing a data classification method based on a spiking neural network, which has a low number of connections and is trained based on local plasticity rules, such as Spike-Timing-Dependent Plasticity. Methods. As the basic architecture of a spiking neural n...

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Bibliographic Details
Main Authors: Rybka, Roman Борисович, Vlasov, Danila Sergeevich, Manzhurov, Alexander Igorevich, Serenko, Alexey Вячеславович, Sboev, Alexander Georgievich
Format: Article
Language:English
Published: Saratov State University 2024-03-01
Series:Известия высших учебных заведений: Прикладная нелинейная динамика
Subjects:
Online Access:https://andjournal.sgu.ru/sites/andjournal.sgu.ru/files/text-pdf/2024/03/and_2024-2_rybka-et-al_239-252.pdf