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MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
A curated list of awesome neuroscience libraries, software and any content related to the domain.
A collection of special paths linked to common sensitive APIs, devops internals, frameworks conf, known misconfigurations, juicy APIs ..etc. It could be used as a part of web content discovery, to scan passively for high-quality endpoints and quick-wins.
Deep learning software to decode EEG, ECG or MEG signals
A list of openly available datasets in (mostly human) electrophysiology.
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
Parameterizing neural power spectra into periodic & aperiodic components.
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Analysis (RSA), Spatiotemporal Pattern Similarity (STPS) & Inter-Subject Correlation (ISC)
Automated rejection and repair of bad trials/sensors in M/EEG
A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG
A list of openly available software tools for (mostly human) electrophysiology.
The Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
Representational Similarity Analysis on MEG and EEG data
Simulation and optimization of neural circuits for MEG/EEG source estimates
MATLAB / Octave tools for BIDS datasets
EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code
Python package for power mapping and functional connectivity using DICS