Understanding The Spatial Resolution Of Linear Eeg Meg Source Estimation
Exploring The Spatial Resolution Of Linear Eeg Meg Source Estimation reveals several interesting facts. Leakage and blurring,
Key Takeaways about The Spatial Resolution Of Linear Eeg Meg Source Estimation
- Event-related paradigm, sample dataset, power spectrum, pre-processing, artefact correction, epoching and averaging, ...
- Volume conduction, Boundary Element Method (BEM), Finite Element Method (FEM), head model accuracy.
- George O'Neill Functional Imaging Laboratory Department of Imaging Neuroscience UCL Queen Square Institute of Neurology ...
- Matti Hämäläinen, Massachusetts General Hospital.
- Basic formulation of the
Detailed Analysis of The Spatial Resolution Of Linear Eeg Meg Source Estimation
Point-spread functions (PSFs), cross-talk functions (CTFs), Cortical surface, volumetric Over- and under-fitting, smoothing, regularisation parameter, data whitening, noise covariance matrix.
This is a recording of Robert's lecture at NatMEG's
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