A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification

A spiking neural network model inspired by synaptic pruning is developed and trained to extract features of hand-written digits. The network is composed of three spiking neural layers and one output neuron whose firing rate is used for classification. The model detects and collects the geometric fea...

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Detalles Bibliográficos
Autores principales: Faghihi, Faramarz, Alashwal, Hany, Moustafa, Ahmed A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908262/
https://www.ncbi.nlm.nih.gov/pubmed/35280233
http://dx.doi.org/10.3389/frai.2022.680165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908262/
https://www.ncbi.nlm.nih.gov/pubmed/35280233
http://dx.doi.org/10.3389/frai.2022.680165

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