MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Updated
Nov 26, 2024 - Python
Electroencephalography (EEG) is a non-invasive method for recording electrical activity in the brain, first performed on humans by Hans Berger in 1924 (Berger, 1929).
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
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
Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
Deep learning software to decode EEG, ECG or MEG signals
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Mother of All BCI Benchmarks
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.
A unified multi-task time series model.
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
Parameterizing neural power spectra into periodic & aperiodic components.
Outdated, see new https://github.com/braindecode/braindecode
AntroPy: entropy and complexity of (EEG) time-series in Python
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.