Unscented Kalman filter for brain-machine interfaces

Brain machine interfaces (BMIs) are devices that convert neural signals into commands to directly control artificial actuators, such as limb prostheses. Previous real-time methods applied to decoding behavioral commands from the activity of populations of neurons have generally relied upon linear mo...

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Veröffentlicht in:	PloS one 2009-07, Vol.4 (7), p.e6243-e6243
Hauptverfasser:	Li, Zheng, O'Doherty, Joseph E, Hanson, Timothy L, Lebedev, Mikhail A, Henriquez, Craig S, Nicolelis, Miguel A L
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Animal experimentation Animals Artificial Limbs Augmentation Behavior, Animal Biomedical engineering Body mass Brain Brain - physiology Brain research Commands Computational Biology/Computational Neuroscience Cortex Decoding Engineering Experiments Information processing Interfaces Kalman filter Kalman filters Kinematics Macaca mulatta Macaca mulatta - physiology Man-machine interfaces Methods Models, Biological Monkeys Monkeys & apes Neurobiology Neurons Neuroscience/Motor Systems Neuroscience/Theoretical Neuroscience Neurosciences Offsets Prostheses Prosthetics Random variables Real time operation Tuning
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