Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals

Previous literature shows that deep learning is an effective tool to decode the motor intent from neural signals obtained from different parts of the nervous system. However, deep neural networks are often computationally complex and not feasible to work in real-time. Here we investigate different a...

Descripción completa

Detalles Bibliográficos
Autores principales: Luu, Diu K., Nguyen, Anh T., Jiang, Ming, Xu, Jian, Drealan, Markus W., Cheng, Jonathan, Keefer, Edward W., Zhao, Qi, Yang, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260935/
https://www.ncbi.nlm.nih.gov/pubmed/34248481
http://dx.doi.org/10.3389/fnins.2021.667907

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260935/
https://www.ncbi.nlm.nih.gov/pubmed/34248481
http://dx.doi.org/10.3389/fnins.2021.667907

Ejemplares similares