mne.minimum_norm.
point_spread_function
(inverse_operator, forward, labels, method='dSPM', lambda2=0.1111111111111111, pick_ori=None, mode='mean', n_svd_comp=1, verbose=None)¶Compute pointspread functions (PSFs) for linear estimators
Compute pointspread functions (PSF) in labels for a combination of inverse operator and forward solution. PSFs are computed for test sources that are perpendicular to cortical surface.
Parameters:  inverse_operator : instance of InverseOperator
forward : dict
labels : list of Label
method : ‘MNE’  ‘dSPM’  ‘sLORETA’
lambda2 : float
pick_ori : None  “normal”
mode : ‘mean’  ‘sum’  ‘svd’ 
n_svd_comp : integer
verbose : bool, str, int, or None


Returns:  stc_psf : SourceEstimate
evoked_fwd : Evoked

mne.minimum_norm.point_spread_function
¶