Neural Decoding Using a Parallel Sequential Monte Carlo Method on Point Processes with Ensemble Effect
Joint Authors
Xu, Kai
Wang, Yiwen
Zheng, Xiaoxiang
Wang, Fang
Zhang, Qiaosheng
Liao, Yuxi
Li, Hongbao
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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 performance of motor brain machine interfaces.
In this paper, we adopt a general tuning model which takes recent ensemble activity into account.
The goodness-of-fit analysis demonstrates that the proposed model can predict the neuronal response more accurately than the one only depending on kinematics.
A new sequential Monte Carlo algorithm based on the proposed model is constructed.
The algorithm can significantly reduce the root mean square error of decoding results, which decreases 23.6% in position estimation.
In addition, we accelerate the decoding speed by implementing the proposed algorithm in a massive parallel manner on GPU.
The results demonstrate that the spike trains can be decoded as point process in real time even with 8000 particles or 300 neurons, which is over 10 times faster than the serial implementation.
The main contribution of our work is to enable the sequential Monte Carlo algorithm with point process observation to output the movement estimation much faster and more accurately.
American Psychological Association (APA)
Xu, Kai& Wang, Yiwen& Wang, Fang& Liao, Yuxi& Zhang, Qiaosheng& Li, Hongbao…[et al.]. 2014. Neural Decoding Using a Parallel Sequential Monte Carlo Method on Point Processes with Ensemble Effect. BioMed Research International،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-490466
Modern Language Association (MLA)
Xu, Kai…[et al.]. Neural Decoding Using a Parallel Sequential Monte Carlo Method on Point Processes with Ensemble Effect. BioMed Research International No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-490466
American Medical Association (AMA)
Xu, Kai& Wang, Yiwen& Wang, Fang& Liao, Yuxi& Zhang, Qiaosheng& Li, Hongbao…[et al.]. Neural Decoding Using a Parallel Sequential Monte Carlo Method on Point Processes with Ensemble Effect. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-490466
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490466