Abstract: Accurate localization of neural sources in Magnetoencephalography (MEG) and Electroencephalography (EEG) is essential for advancing clinical and research applications in neuroscience.

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

Your Data Tutorial, and for examples see Jones et al. 2007 1; Kohl et al 2021 6; Thorpe et al 2021 7. I don't know anything about *actually performing source-localization. The indicated section makes ...

1 Department of Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran 2 Research Center for Biomedical Technologies and Robotics (RCBTR), Advanced Medical Technologies and ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...

Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...

I would like to morph my label source estimates to an average brain, but it does not seem possible with the current mne-python API. I have reconstructed surface sources using the ...