mne_nirs.simulation.simulate_nirs_raw#
- mne_nirs.simulation.simulate_nirs_raw(sfreq=3.0, amplitude=1.0, annot_desc='A', sig_dur=300.0, stim_dur=5.0, isi_min=15.0, isi_max=45.0, ch_name='Simulated', hrf_model='glover')[source]#
Create simulated fNIRS data.
The returned data is of type hbo. One or more conditions can be simulated. To simulate multiple conditions pass in a description and amplitude for each amplitude=[0., 2., 4.], annot_desc=[‘Control’, ‘Cond_A’, ‘Cond_B’].
- Parameters:
- sfreqNumber
The sample rate.
- amplitudeNumber, Array of
numbers The amplitude of the signal to simulate in uM. Pass in an array to simulate multiple conditions.
- annot_desc
str, Array ofstr The name of the annotations for simulated amplitudes. Pass in an array to simulate multiple conditions, must be the same length as amplitude.
- sig_durNumber
The length of the boxcar signal to generate in seconds that will be convolved with the HRF.
- stim_durNumber, Array of
numbers The length of the stimulus to generate in seconds.
- isi_minNumber
The minimum duration of the inter stimulus interval in seconds.
- isi_maxNumber
The maximum duration of the inter stimulus interval in seconds.
- ch_name
str Channel name to be used in returned raw instance.
- hrf_model
str Specifies the hemodynamic response function. See nilearn docs.
- Returns:
- rawinstance of
Raw The generated raw instance.
- rawinstance of
