Python compute_inverse示例

示例#1

文件： test_inverse.py 项目： arokem/mne-python

def test_compute_mne_inverse():
    """Test MNE inverse computation
    """

    setno = 0
    snr = 3.0
    lambda2 = 1.0 / snr**2
    dSPM = True

    res = mne.compute_inverse(fname_data, setno, fname_inv, lambda2, dSPM,
                              baseline=(None, 0))

    assert np.all(res['sol'] > 0)
    assert np.all(res['sol'] < 35)

示例#2

文件： plot_compute_mne_inverse.py 项目： arokem/mne-python

import os
import numpy as np
import pylab as pl
import mne

fname_inv = os.environ['MNE_SAMPLE_DATASET_PATH']
fname_inv += '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif'
fname_data = os.environ['MNE_SAMPLE_DATASET_PATH']
fname_data += '/MEG/sample/sample_audvis-ave.fif'

setno = 0
snr = 3.0
lambda2 = 1.0 / snr**2
dSPM = True

res = mne.compute_inverse(fname_data, setno, fname_inv, lambda2, dSPM,
                          baseline=(None, 0))

lh_vertices = res['inv']['src'][0]['vertno']
rh_vertices = res['inv']['src'][1]['vertno']
lh_data = res['sol'][:len(lh_vertices)]
rh_data = res['sol'][-len(rh_vertices):]

# Save result in stc files
mne.write_stc('mne_dSPM_inverse-lh.stc', tmin=res['tmin'], tstep=res['tstep'],
               vertices=lh_vertices, data=lh_data)
mne.write_stc('mne_dSPM_inverse-rh.stc', tmin=res['tmin'], tstep=res['tstep'],
               vertices=rh_vertices, data=rh_data)

###############################################################################
# View activation time-series
times = res['tmin'] + res['tstep'] * np.arange(lh_data.shape[1])