MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Updated
May 27, 2024 - Python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
The MATLAB toolbox for MEG, EEG and iEEG analysis
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning
Deep learning software to decode EEG, ECG or MEG signals
Mother of All BCI Benchmarks
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
Brainstorm software: MEG, EEG, fNIRS, ECoG, sEEG and electrophysiology
Outdated, see new https://github.com/braindecode/braindecode
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A curated list of awesome neuroscience libraries, software and any content related to the domain.
MNE-CPP: A Framework for Electrophysiology
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Parameterizing neural power spectra into periodic & aperiodic components.
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