Optimising beamformer regions of interest analysis.
Beamforming is a spatial filtering based source reconstruction method for EEG and MEG that allows the estimation of neuronal activity at a particular location within the brain. The computation of the location specific filter depends solely on an estimate of the data covariance matrix and on the forw...
Κύριοι συγγραφείς: | Oswal, A, Litvak, V, Brown, P, Woolrich, M, Barnes, G |
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Μορφή: | Journal article |
Γλώσσα: | English |
Έκδοση: |
Elsevier
2014
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Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
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Optimising beamformer regions of interest analysis
ανά: Oswal, A, κ.ά.
Έκδοση: (2014) -
MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization.
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Έκδοση: (2011) -
Movement related dynamics of subthalmo-cortical alpha connectivity in Parkinson's disease.
ανά: Oswal, A, κ.ά.
Έκδοση: (2013) -
Synchronized neural oscillations and the pathophysiology of Parkinson's disease.
ανά: Oswal, A, κ.ά.
Έκδοση: (2013) -
Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients.
ανά: Litvak, V, κ.ά.
Έκδοση: (2010)