Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6029926 | NeuroImage | 2013 | 13 Pages |
Abstract
⺠Our method solves the M/EEG inverse problem without assuming source stationarity. ⺠We localize sources in space, time and frequency in one step. ⺠We provide results on simulations and two publicly available MEG datasets. ⺠We use short time Fourier transforms (STFT) and modern optimization techniques. ⺠The solver is tractable and fast on real data.
Keywords
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Cognitive Neuroscience
Authors
A. Gramfort, D. Strohmeier, J. Haueisen, M.S. Hämäläinen, M. Kowalski,