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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| 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 |