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
- fwd
Forward
The forward operator.
- projs
list
List of projection vectors.
- ch_type‘grad’ | ‘mag’ | ‘eeg’
The type of sensors to use.
- mode
str
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.
- exclude
list
ofstr
|str
List of channels to exclude. If empty do not exclude any (default). If ‘bads’, exclude channels in fwd[‘info’][‘bads’].
- verbosebool |
str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- fwd
- Returns
- stc
SourceEstimate
|VolSourceEstimate
The sensitivity map as a SourceEstimate or VolSourceEstimate instance for visualization.
- stc
Examples using mne.sensitivity_map
#
Head model and forward computation
Sensitivity map of SSP projections
Display sensitivity maps for EEG and MEG sensors