{"action":"created","issue":{"url":"https://api.github.com/repos/mne-tools/mne-python/issues/2685","labels_url":"https://api.github.com/repos/mne-tools/mne-python/issues/2685/labels{/name}","comments_url":"https://api.github.com/repos/mne-tools/mne-python/issues/2685/comments","events_url":"https://api.github.com/repos/mne-tools/mne-python/issues/2685/events","html_url":"https://github.com/mne-tools/mne-python/issues/2685","id":121267411,"number":2685,"title":"no inv for LCMV","user":{"login":"yuval-harpaz","id":445416,"avatar_url":"https://avatars.githubusercontent.com/u/445416?v=3","gravatar_id":"","url":"https://api.github.com/users/yuval-harpaz","html_url":"https://github.com/yuval-harpaz","followers_url":"https://api.github.com/users/yuval-harpaz/followers","following_url":"https://api.github.com/users/yuval-harpaz/following{/other_user}","gists_url":"https://api.github.com/users/yuval-harpaz/gists{/gist_id}","starred_url":"https://api.github.com/users/yuval-harpaz/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yuval-harpaz/subscriptions","organizations_url":"https://api.github.com/users/yuval-harpaz/orgs","repos_url":"https://api.github.com/users/yuval-harpaz/repos","events_url":"https://api.github.com/users/yuval-harpaz/events{/privacy}","received_events_url":"https://api.github.com/users/yuval-harpaz/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":4,"created_at":"2015-12-09T15:16:21Z","updated_at":"2015-12-10T08:08:56Z","closed_at":null,"body":"Dear MNE team\r\nI am trying to compute LCMV(g2) for epilepsy data. for this I tried using lcmv_raw. I want to compute the beamformer weights on raw data (500sec) and then apply them to short data epochs (0.25sec) , compute g2 (estimator for kurtosis) and save the sum of that as source strength. I can't do it because if I use the whole data I get memory error of course (the stc is too big), and computing LCMV for short data is not the way to go. I suggest doing LCMV in two stages, giving the inv first, then applying it. in the meantime, is there a way for me to get the weights while doing LCMV?\r\nthanks"},"comment":{"url":"https://api.github.com/repos/mne-tools/mne-python/issues/comments/163529192","html_url":"https://github.com/mne-tools/mne-python/issues/2685#issuecomment-163529192","issue_url":"https://api.github.com/repos/mne-tools/mne-python/issues/2685","id":163529192,"user":{"login":"yuval-harpaz","id":445416,"avatar_url":"https://avatars.githubusercontent.com/u/445416?v=3","gravatar_id":"","url":"https://api.github.com/users/yuval-harpaz","html_url":"https://github.com/yuval-harpaz","followers_url":"https://api.github.com/users/yuval-harpaz/followers","following_url":"https://api.github.com/users/yuval-harpaz/following{/other_user}","gists_url":"https://api.github.com/users/yuval-harpaz/gists{/gist_id}","starred_url":"https://api.github.com/users/yuval-harpaz/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yuval-harpaz/subscriptions","organizations_url":"https://api.github.com/users/yuval-harpaz/orgs","repos_url":"https://api.github.com/users/yuval-harpaz/repos","events_url":"https://api.github.com/users/yuval-harpaz/events{/privacy}","received_events_url":"https://api.github.com/users/yuval-harpaz/received_events","type":"User","site_admin":false},"created_at":"2015-12-10T08:08:56Z","updated_at":"2015-12-10T08:08:56Z","body":"I would like to have a nsourse x nchan np.ndarray so I could then multiply\nit by the data to get raw source timecourse (no depth normalization). I\nsuggest to give it as a second output variable for lcmv_raw, but do which\never cheepest way for you ...\nthanks\n\nOn 10 December 2015 at 09:50, Alexandre Gramfort <notifications@github.com>\nwrote:\n\n> write us how you would like to us it (2-3 lines code snippet) and we'll see\n> what we can do.\n>\n> thx\n>\n> —\n> Reply to this email directly or view it on GitHub\n> <https://github.com/mne-tools/mne-python/issues/2685#issuecomment-163526531>\n> .\n>\n\n\n\n-- \nYuval\n\n\n\n\nDr .Harpaz\n\nBIU MEG lab <http://faculty.biu.ac.il/~goldsa/index.html>\n"}}