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Heterogeneous recurrent spiking neural network for spatio-temporal classification

Spiking Neural Networks are often touted as brain-inspired learning models for the third wave of Artificial Intelligence. Although recent SNNs trained with supervised backpropagation show classification accuracy comparable to deep networks, the performance of unsupervised learning-based SNNs remains...

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Detalles Bibliográficos
Autores principales: Chakraborty, Biswadeep, Mukhopadhyay, Saibal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922697/
https://www.ncbi.nlm.nih.gov/pubmed/36793542
http://dx.doi.org/10.3389/fnins.2023.994517