Difference between revisions of "Command Line Tools"
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== mne_dipole_fit == | == mne_dipole_fit == | ||
+ | This is a program for sequential single dipole fitting. | ||
+ | Input data: | ||
+ | --meas name specify an evoked-response data file | ||
+ | --set no evoked data set number to use (default: 1) | ||
+ | --bad name take bad channel list from here | ||
+ | Modality selection: | ||
+ | --meg employ MEG data in fitting | ||
+ | --eeg employ EEG data in fitting | ||
+ | |||
+ | Time scale selection: | ||
+ | --tmin time/ms specify the starting analysis time | ||
+ | --tmax time/ms specify the ending analysis time | ||
+ | --tstep time/ms specify the time step between frames (default 1/(sampling frequency)) | ||
+ | --integ time/ms specify the time integration for each frame (default 0) | ||
+ | |||
+ | Preprocessing: | ||
+ | --bmin time/ms specify the baseline starting time (evoked data only) | ||
+ | --bmax time/ms specify the baseline ending time (evoked data only) | ||
+ | --proj name Load the linear projection from here | ||
+ | Multiple projections can be specified. | ||
+ | The data file will be automatically included, unless --noproj is present. | ||
+ | --noproj Do not load the projection from the data file, just those given with the --proj option. | ||
+ | |||
+ | Filtering (raw data only): | ||
+ | |||
+ | --filtersize size desired filter length (default = 4096) | ||
+ | --highpass val/Hz highpass corner (default = 0.0 Hz) | ||
+ | --lowpass val/Hz lowpass corner (default = 40.0 Hz) | ||
+ | --lowpassw val/Hz lowpass transition width (default = 5.0 Hz) | ||
+ | --filteroff do not filter the data | ||
+ | |||
+ | Noise specification: | ||
+ | --noise name take the noise-covariance matrix from here | ||
+ | --gradnoise val specify a gradiometer noise value in fT/cm | ||
+ | --magnoise val specify a gradiometer noise value in fT | ||
+ | --eegnoise val specify an EEG value in uV | ||
+ | NOTE: The above will be used only if --noise is missing | ||
+ | --diagnoise omit off-diagonal terms from the noise-covariance matrix | ||
+ | --reg amount Apply regularization to the noise-covariance matrix (same fraction for all channels). | ||
+ | --gradreg amount Apply regularization to the MEG noise-covariance matrix (planar gradiometers, default = 0.10). | ||
+ | --magreg amount Apply regularization to the EEG noise-covariance matrix (axial gradiometers and magnetometers, default = 0.10). | ||
+ | --eegreg amount Apply regularization to the EEG noise-covariance matrix (default = 0.10). | ||
+ | |||
+ | Forward model: | ||
+ | --mri name take head/MRI coordinate transform from here (Neuromag MRI description file) | ||
+ | --bem name BEM model name | ||
+ | --origin x:y:z/mm use a sphere model with this origin (head coordinates/mm) | ||
+ | --eegscalp scale the electrode locations to the surface of the scalp when using a sphere model | ||
+ | --eegmodels name read EEG sphere model specifications from here. | ||
+ | --eegmodel name name of the EEG sphere model to use (default : Default) | ||
+ | --eegrad val radius of the scalp surface to use in EEG sphere model (default : 90.0 mm) | ||
+ | --accurate use accurate coil definitions in MEG forward computation | ||
+ | |||
+ | Fitting parameters: | ||
+ | --guess name The source space of initial guesses. | ||
+ | If not present, the values below are used to generate the guess grid. | ||
+ | --guesssurf name Read the inner skull surface from this fif file to generate the guesses. | ||
+ | --guessrad value Radius of a spherical guess volume if neither of the above is present (default : 80.0 mm) | ||
+ | --exclude dist/mm Exclude points which are closer than this distance from the CM of the inner skull surface (default = 20.0 mm). | ||
+ | --mindist dist/mm Exclude points which are closer than this distance from the inner skull surface (default = 10.0 mm). | ||
+ | --grid dist/mm Source space grid size (default = 10.0 mm). | ||
+ | --magdip Fit magnetic dipoles instead of current dipoles. | ||
+ | |||
+ | Output: | ||
+ | --dip name xfit dip format output file name | ||
+ | --bdip name xfit bdip format output file name | ||
+ | |||
+ | General: | ||
+ | --gui Enables the gui. | ||
+ | --help print this info. | ||
+ | --version print version info. | ||
== mne_forward_solution == | == mne_forward_solution == |
Revision as of 18:48, 7 March 2017
mne_dipole_fit
This is a program for sequential single dipole fitting.
Input data:
--meas name specify an evoked-response data file --set no evoked data set number to use (default: 1) --bad name take bad channel list from here
Modality selection:
--meg employ MEG data in fitting --eeg employ EEG data in fitting
Time scale selection:
--tmin time/ms specify the starting analysis time --tmax time/ms specify the ending analysis time --tstep time/ms specify the time step between frames (default 1/(sampling frequency)) --integ time/ms specify the time integration for each frame (default 0)
Preprocessing:
--bmin time/ms specify the baseline starting time (evoked data only) --bmax time/ms specify the baseline ending time (evoked data only) --proj name Load the linear projection from here Multiple projections can be specified. The data file will be automatically included, unless --noproj is present. --noproj Do not load the projection from the data file, just those given with the --proj option.
Filtering (raw data only):
--filtersize size desired filter length (default = 4096) --highpass val/Hz highpass corner (default = 0.0 Hz) --lowpass val/Hz lowpass corner (default = 40.0 Hz) --lowpassw val/Hz lowpass transition width (default = 5.0 Hz) --filteroff do not filter the data
Noise specification:
--noise name take the noise-covariance matrix from here --gradnoise val specify a gradiometer noise value in fT/cm --magnoise val specify a gradiometer noise value in fT --eegnoise val specify an EEG value in uV NOTE: The above will be used only if --noise is missing --diagnoise omit off-diagonal terms from the noise-covariance matrix --reg amount Apply regularization to the noise-covariance matrix (same fraction for all channels). --gradreg amount Apply regularization to the MEG noise-covariance matrix (planar gradiometers, default = 0.10). --magreg amount Apply regularization to the EEG noise-covariance matrix (axial gradiometers and magnetometers, default = 0.10). --eegreg amount Apply regularization to the EEG noise-covariance matrix (default = 0.10).
Forward model:
--mri name take head/MRI coordinate transform from here (Neuromag MRI description file) --bem name BEM model name --origin x:y:z/mm use a sphere model with this origin (head coordinates/mm) --eegscalp scale the electrode locations to the surface of the scalp when using a sphere model --eegmodels name read EEG sphere model specifications from here. --eegmodel name name of the EEG sphere model to use (default : Default) --eegrad val radius of the scalp surface to use in EEG sphere model (default : 90.0 mm) --accurate use accurate coil definitions in MEG forward computation
Fitting parameters:
--guess name The source space of initial guesses. If not present, the values below are used to generate the guess grid. --guesssurf name Read the inner skull surface from this fif file to generate the guesses. --guessrad value Radius of a spherical guess volume if neither of the above is present (default : 80.0 mm) --exclude dist/mm Exclude points which are closer than this distance from the CM of the inner skull surface (default = 20.0 mm). --mindist dist/mm Exclude points which are closer than this distance from the inner skull surface (default = 10.0 mm). --grid dist/mm Source space grid size (default = 10.0 mm). --magdip Fit magnetic dipoles instead of current dipoles.
Output:
--dip name xfit dip format output file name --bdip name xfit bdip format output file name
General:
--gui Enables the gui. --help print this info. --version print version info.
mne_forward_solution
mne_show_fiff
List contents of a fif file to stdout
--in name The input file. --fif name Synonym for the above. --blocks Only list the blocks (the tree structure) --verbose Verbose output. --indent no Number of spaces to use in indentation (default -1 in terse and 0 in verbose output) --tag no Provide information about these tags (can have multiple of these). --long Print long strings in full? --help print this info. --version print version info.