Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network

The paper proposes a new method for deep learning and knowledge discovery in a brain-inspired Spiking Neural Networks (SNN) architecture that enhances the model’s explainability while learning from streaming spatiotemporal brain data (STBD) in an incremental and on-line mode of operation. This led t...

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Detalles Bibliográficos
Autores principales: Doborjeh, Maryam, Doborjeh, Zohreh, Kasabov, Nikola, Barati, Molood, Wang, Grace Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309947/
https://www.ncbi.nlm.nih.gov/pubmed/34300640
http://dx.doi.org/10.3390/s21144900

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309947/
https://www.ncbi.nlm.nih.gov/pubmed/34300640
http://dx.doi.org/10.3390/s21144900

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