Brain-inspired spiking neural networks for decoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements

Compared to the abilities of the animal brain, many Artificial Intelligence systems have limitations which emphasise the need for a Brain-Inspired Artificial Intelligence paradigm. This paper proposes a novel Brain-Inspired Spiking Neural Network (BI-SNN) model for incremental learning of spike sequ...

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Detalles Bibliográficos
Autores principales: Kumarasinghe, Kaushalya, Kasabov, Nikola, Taylor, Denise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844055/
https://www.ncbi.nlm.nih.gov/pubmed/33510245
http://dx.doi.org/10.1038/s41598-021-81805-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844055/
https://www.ncbi.nlm.nih.gov/pubmed/33510245
http://dx.doi.org/10.1038/s41598-021-81805-4

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