Recursive bayesian decoding of motor cortical signals by particle filtering

The population vector (PV) algorithm and optimal linear estimation (OLE) have been used to reconstruct movement by combining signals from multiple neurons in the motor cortex. While these linear methods are effective, recursive Bayesian decoding schemes, which are nonlinear, can be more powerful whe...

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Veröffentlicht in:	Journal of neurophysiology Jg. 91; H. 4; S. 1899
Hauptverfasser:	Brockwell, A E, Rojas, A L, Kass, R E
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.04.2004
Schlagworte:	Algorithms Animals Bayes Theorem Computer Simulation Hand - physiology Haplorhini Models, Neurological Motor Cortex - cytology Motor Cortex - physiology Movement Neurons - physiology Signal Detection, Psychological - physiology Time Factors
ISSN:	0022-3077
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