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MEG and EEG data analysis with MNE-Python

, , , , , , , , , , и . Frontiers in Neuroscience, (2013)
DOI: 10.3389/fnins.2013.00267

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Lauri Sarparanta

Andrea Lauri

Lauri Pakkala

Lauri Sääksvuori

Lauri Porthan

 

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Influence of Co-Registration Errors on the Performance of Anatomical Constraints in MEG Source Connectivity Analysis., , , , , , и . SMC, стр. 2754-2761. IEEE, (2019)Denoising Single Trial Event Related Magnetoencephalographic Recordings., , и . ICA, том 5441 из Lecture Notes in Computer Science, стр. 427-434. Springer, (2009)MEG and EEG data analysis with MNE-Python, , , , , , , , , и 1 other автор(ы). Frontiers in Neuroscience, (2013)Tracking of dynamic functional connectivity from MEG data with Kalman filtering., , , и . EMBC, стр. 1003-1006. IEEE, (2018)Consistency and similarity of MEG- and fMRI-signal time courses during movie viewing., , , , , , и . NeuroImage, (2018)The brain in time: insights from neuromagnetic recordings, , и . Annals of the New York Academy of Sciences, 1191 (1): 89--109 (2010)Spatial sampling of MEG and EEG based on generalized spatial-frequency analysis and optimal design., , , , , и . NeuroImage, (2021)rtMEG: A Real-Time Software Interface for Magnetoencephalography., , , , , и . Comput. Intell. Neurosci., (2011)Activity level in left auditory cortex predicts behavioral performance in inhibition tasks in children., , и . NeuroImage, (2022)Comparison of beamformer implementations for MEG source localization., , , , , , , , , и 2 other автор(ы). NeuroImage, (2020)