Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons

A spiking neural network (SNN) is a type of artificial neural network that operates based on discrete spikes to process timing information, similar to the manner in which the human brain processes real-world problems. In this paper, we propose a new spiking neural network (SNN) based on conventional...

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Detalles Bibliográficos
Autores principales: Yang, Geunbo, Lee, Wongyu, Seo, Youjung, Lee, Choongseop, Seok, Woojoon, Park, Jongkil, Sim, Donggyu, Park, Cheolsoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459513/
https://www.ncbi.nlm.nih.gov/pubmed/37631767
http://dx.doi.org/10.3390/s23167232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459513/
https://www.ncbi.nlm.nih.gov/pubmed/37631767
http://dx.doi.org/10.3390/s23167232

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