Cargando…
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...
Autores principales: | Xu, Kai, Wang, Yiwen, Wang, Fang, Liao, Yuxi, Zhang, Qiaosheng, Li, Hongbao, Zheng, Xiaoxiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4052147/ https://www.ncbi.nlm.nih.gov/pubmed/24949462 http://dx.doi.org/10.1155/2014/685492 |
Ejemplares similares
-
Sequential Monte Carlo-guided ensemble tracking
por: Wang, Yuru, et al.
Publicado: (2017) -
Neural decoding with visual attention using sequential Monte Carlo for leaky integrate-and-fire neurons
por: Li, Kang, et al.
Publicado: (2019) -
An introduction to sequential Monte Carlo
por: Chopin, Nicolas, et al.
Publicado: (2020) -
Sequential Monte Carlo with transformations
por: Everitt, Richard G., et al.
Publicado: (2019) -
Sequential Monte Carlo methods in practice
por: Jordan, Michael, et al.
Publicado: (2001)