Please see https://mne.tools/mne-gui-addons/ for installation instructions, tutorials, and examples for a wide variety of topics, contributing guidelines, and an API ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This repository contains an exemplary pipeline for processing MEG/EEG data using MNE-Python and the Brain Imaging Data Structure (BIDS). The study template expects input data to adhere to BIDS. You ...

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...

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