Neural Decoding Using a Parallel Sequential Monte Carlo Method on Point Processes with Ensemble Effect

Sequential Monte Carlo estimation on point processes has been successfully applied to predict the movement from neural activity. However, there exist some issues along with this method such as the simplified tuning model and the high computational complexity, which may degenerate the decoding perfor...

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Veröffentlicht in:	BioMed research international Jg. 2014; H. 2014; S. 1 - 11
Hauptverfasser:	Wang, Yiwen, Xu, Kai, Wang, Fang, Liao, Yuxi, Zhang, Qiaosheng, Li, Hongbao, Zheng, Xiaoxiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Puplishing Corporation 01.01.2014 Hindawi Publishing Corporation John Wiley & Sons, Inc
Schlagworte:	Accuracy Algorithms Animals Biomechanical Phenomena Biomedical engineering Computational biology Computer simulation Construction Decoding Humans Innovations Kalman filters Kinematics Mathematical models Models, Neurological Models, Theoretical Monte Carlo Method Monte Carlo methods Neural circuitry Neurons Observations Psychomotor Performance Roots Science Signal processing Studies Trains Tuning
ISSN:	2314-6133, 2314-6141, 2314-6141
Online-Zugang:	Volltext
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