Cargando…
A Sliced Inverse Regression (SIR) Decoding the Forelimb Movement from Neuronal Spikes in the Rat Motor Cortex
Several neural decoding algorithms have successfully converted brain signals into commands to control a computer cursor and prosthetic devices. A majority of decoding methods, such as population vector algorithms (PVA), optimal linear estimators (OLE), and neural networks (NN), are effective in pred...
Autores principales: | Yang, Shih-Hung, Chen, You-Yin, Lin, Sheng-Huang, Liao, Lun-De, Lu, Henry Horng-Shing, Wang, Ching-Fu, Chen, Po-Chuan, Lo, Yu-Chun, Phan, Thanh Dat, Chao, Hsiang-Ya, Lin, Hui-Ching, Lai, Hsin-Yi, Huang, Wei-Chen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5145870/ https://www.ncbi.nlm.nih.gov/pubmed/28018160 http://dx.doi.org/10.3389/fnins.2016.00556 |
Ejemplares similares
-
Inhibition of Long-Term Variability in Decoding Forelimb Trajectory Using Evolutionary Neural Networks With Error-Correction Learning
por: Yang, Shih-Hung, et al.
Publicado: (2020) -
Sparse sliced inverse regression for high dimensional data analysis
por: Hilafu, Haileab, et al.
Publicado: (2022) -
Analysis of microarray right-censored data through fused sliced inverse regression
por: Yoo, Jae Keun
Publicado: (2019) -
Simultaneous multi-slice inverse imaging of the human brain
por: Hsu, Yi-Cheng, et al.
Publicado: (2017) -
Partial maximum correntropy regression for robust electrocorticography decoding
por: Li, Yuanhao, et al.
Publicado: (2023)