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A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding

Neural signal decoding is a critical technology in brain machine interface (BMI) to interpret movement intention from multi-neural activity collected from paralyzed patients. As a commonly-used decoding algorithm, the Kalman filter is often applied to derive the movement states from high-dimensional...

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Detalles Bibliográficos
Autores principales: Liu, Xi, Chen, Shuhang, Shen, Xiang, Zhang, Xiang, Wang, Yiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231488/
https://www.ncbi.nlm.nih.gov/pubmed/34204814
http://dx.doi.org/10.3390/e23060743