Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks

Liquid State Machines (LSMs) are computing reservoirs composed of recurrently connected Spiking Neural Networks which have attracted research interest for their modeling capacity of biological structures and as promising pattern recognition tools suitable for their implementation in neuromorphic pro...

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Detalles Bibliográficos
Autores principales: Patiño-Saucedo, Alberto, Rostro-González, Horacio, Serrano-Gotarredona, Teresa, Linares-Barranco, Bernabé
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964061/
https://www.ncbi.nlm.nih.gov/pubmed/35360182
http://dx.doi.org/10.3389/fnins.2022.819063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964061/
https://www.ncbi.nlm.nih.gov/pubmed/35360182
http://dx.doi.org/10.3389/fnins.2022.819063

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