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commit 75dc2c2fbc295e312fd778b010b800e3bc943cae Author: Alexandre Gramfort <[email protected]> Date: Mon Mar 28 17:14:05 2011 -0400 combining orients in source space --- examples/plot_minimum_norm_estimate.py | 2 +- mne/inverse.py | 7 +++++++ 2 files changed, 8 insertions(+), 1 deletion(-) diff --git a/examples/plot_minimum_norm_estimate.py b/examples/plot_minimum_norm_estimate.py index 79aef87..dbaffa4 100644 --- a/examples/plot_minimum_norm_estimate.py +++ b/examples/plot_minimum_norm_estimate.py @@ -37,7 +37,7 @@ noise_cov = mne.Covariance() noise_cov.load(fname_cov) # Compute inverse solution -stc, K, W = mne.minimum_norm(evoked, forward, noise_cov, orientation='fixed', +stc, K, W = mne.minimum_norm(evoked, forward, noise_cov, orientation='free', method='dspm', snr=3, loose=0.2, pca=True) # Save result in stc files diff --git a/mne/inverse.py b/mne/inverse.py index c566f93..38a8dad 100644 --- a/mne/inverse.py +++ b/mne/inverse.py @@ -713,6 +713,13 @@ def minimum_norm(evoked, forward, cov, picks=None, method='dspm', sel = [evoked.ch_names.index(name) for name in ch_names] sol = np.dot(Kernel, evoked.data[sel]) + if n_dip_per_pos > 1: + print 'combining the current components...', + sol1 = np.empty((sol.shape[0]/3, sol.shape[1])) + for k in range(sol.shape[1]): + sol1[:, k] = np.sqrt(combine_xyz(sol[:, k])) + sol = sol1 + stc = dict() stc['inv'] = dict() stc['inv']['src'] = forward['src'] -- Alioth's /usr/local/bin/git-commit-notice on /srv/git.debian.org/git/debian-med/python-mne.git _______________________________________________ debian-med-commit mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/debian-med-commit
