Bayesian smoothing of dipoles in magneto-/electroencephalography
Author:
Publisher
IOP Publishing
Subject
Applied Mathematics,Computer Science Applications,Mathematical Physics,Signal Processing,Theoretical Computer Science
Link
https://iopscience.iop.org/article/10.1088/0266-5611/32/4/045007/pdf
Reference30 articles.
1. Magnetoencephalography—theory, instrumentation, and applications to noninvasive studies of the working human brain
2. Sequential monte carlo techniques for EEG dipole placing and tracking
3. Dynamical MEG source modeling with multi-target Bayesian filtering
4. Multi-source Neural Activity Estimation and Sensor Scheduling: Algorithms and Hardware Implementation
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1. A Framework for Solving the Source Localization of the EEG Measurements with the Application of Particle Filtering with Branching Resampling;Journal of Circuits, Systems and Computers;2022-03-24
2. Resampling schemes within a particle filter framework for brain source localisation;International Journal of Biomedical Engineering and Technology;2022
3. Contextual MEG and EEG Source Estimates Using Spatiotemporal LSTM Networks;Frontiers in Neuroscience;2021-03-09
4. Neural source localization using particle filter with optimal proportional set resampling;ETRI Journal;2020-02-25
5. Multiple dipole source localization of EEG measurements using particle filter with partial stratified resampling;Biomedical Engineering Letters;2020-02-06
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