mne.beamformer.
make_lcmv
(info, forward, data_cov, reg=0.05, noise_cov=None, label=None, pick_ori=None, rank=None, weight_norm='unit-noise-gain', reduce_rank=False, verbose=None)[source]¶Compute LCMV spatial filter.
Parameters: | info : dict
forward : dict
data_cov : Covariance
reg : float
noise_cov : Covariance
label : Label
pick_ori : None | ‘normal’ | ‘max-power’
rank : None | int | dict
weight_norm : ‘unit-noise-gain’ | ‘nai’ | None reduce_rank : bool
verbose : bool, str, int, or None
|
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Returns: | filters | dict
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Notes
The original reference is [R6465].
References
[R6465] | (1, 2, 3) Van Veen et al. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. Biomedical Engineering (1997) vol. 44 (9) pp. 867–880 |
[R6565] | (1, 2, 3) Sekihara & Nagarajan. Adaptive spatial filters for electromagnetic brain imaging (2008) Springer Science & Business Media |
mne.beamformer.make_lcmv
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