Inhibition of Long-Term Variability in Decoding Forelimb Trajectory Using Evolutionary Neural Networks With Error-Correction Learning

Objective: In brain machine interfaces (BMIs), the functional mapping between neural activities and kinematic parameters varied over time owing to changes in neural recording conditions. The variability in neural recording conditions might result in unstable long-term decoding performance. Relevant...

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Detalles Bibliográficos
Autores principales: Yang, Shih-Hung, Wang, Han-Lin, Lo, Yu-Chun, Lai, Hsin-Yi, Chen, Kuan-Yu, Lan, Yu-Hao, Kao, Ching-Chia, Chou, Chin, Lin, Sheng-Huang, Huang, Jyun-We, Wang, Ching-Fu, Kuo, Chao-Hung, Chen, You-Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136463/
https://www.ncbi.nlm.nih.gov/pubmed/32296323
http://dx.doi.org/10.3389/fncom.2020.00022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7136463/
https://www.ncbi.nlm.nih.gov/pubmed/32296323
http://dx.doi.org/10.3389/fncom.2020.00022

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