Rapid control and feedback rates enhance neuroprosthetic control
Brain machine interfaces (BMI) enable sensorimotor control of movement yet the parameters that may affect these pathways are not known. Here the authors show systematically that increasing the rate of control from brain as well as feedback rates to the subject results in better performance on a BMI...
Guardado en:
Autores principales: | Maryam M. Shanechi, Amy L. Orsborn, Helene G. Moorman, Suraj Gowda, Siddharth Dangi, Jose M. Carmena |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7ac23d5c030a44228d83707aab3917fb |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Neuroprosthetics in systems neuroscience and medicine
por: Kenji Kansaku
Publicado: (2021) -
Neuroprosthetic-enabled control of graded arm muscle contraction in a paralyzed human
por: David A. Friedenberg, et al.
Publicado: (2017) -
“Low road” to rehabilitation: a perspective on subliminal sensory neuroprosthetics
por: Ghai S, et al.
Publicado: (2018) -
A brain-machine interface for control of medically-induced coma.
por: Maryam M Shanechi, et al.
Publicado: (2013) -
Thermodynamics of continuous non-Markovian feedback control
por: Maxime Debiossac, et al.
Publicado: (2020)