Extracting synchronized neuronal activity from local field potentials based on a marked point process framework
2022 · Journal of Neural Engineering · 5 citations
https://doi.org/10.1088/1741-2552/ac86a3
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Xiang Zhang
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Xiang Zhang is an academic researcher from University of Southern California. The author has contributed to research in topics: EEG and Brain-Computer Interfaces & Neural dynamics and brain function & Neuroscience and Neural Engineering. The author has an h-index of 10, co-authored 60 publications.
ORCID: 0000-0002-7432-9904Papers by this author
worksKernel Temporal Difference based Reinforcement Learning for Brain Machine Interfaces
2021 · 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) · 3 citations
https://doi.org/10.1109/embc46164.2021.9631086
The toy example illustrating the labeling results obtained from the coefficients when the propagation procedure arrives at the (a) initialization stage, (b) 50-th iteration round, (c) 300-th iteration round, and (d) the resultant convergence (1500-th iteration round), respectively.
2015 · Figshare · 0 citations
https://doi.org/10.1371/journal.pone.0138814.g002
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