mne.sensitivity_map¶

mne.sensitivity_map(fwd, projs=None, ch_type='grad', mode='fixed', exclude=[], verbose=None)[source]¶

Compute sensitivity map.

Such maps are used to know how much sources are visible by a type of sensor, and how much projections shadow some sources.

Parameters

fwdForward: The forward operator.
projslist: List of projection vectors.
ch_type‘grad’ | ‘mag’ | ‘eeg’: The type of sensors to use.
modestr: The type of sensitivity map computed. See manual. Should be ‘free’, ‘fixed’, ‘ratio’, ‘radiality’, ‘angle’, ‘remaining’, or ‘dampening’ corresponding to the argument –map 1, 2, 3, 4, 5, 6 and 7 of the command mne_sensitivity_map.
excludelist of str | str: List of channels to exclude. If empty do not exclude any (default). If ‘bads’, exclude channels in fwd[‘info’][‘bads’].
verbosebool, str, int, or None: If not None, override default verbose level (see mne.verbose() and Logging documentation for more). If used, it should be passed as a keyword-argument only.

Returns

stcSourceEstimate | VolSourceEstimate: The sensitivity map as a SourceEstimate or VolSourceEstimate instance for visualization.

Examples using `mne.sensitivity_map`¶

EEG forward operator with a template MRI — EEG forward operator with a template MRI¶

Head model and forward computation — Head model and forward computation¶

Sensitivity map of SSP projections — Sensitivity map of SSP projections¶

Display sensitivity maps for EEG and MEG sensors — Display sensitivity maps for EEG and MEG sensors¶

Use source space morphing — Use source space morphing¶