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EEG

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).

Here are 547 public repositories matching this topic...

mne-python

mne-tools / mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

visualization python machine-learning statistics neuroscience meg eeg neuroimaging electroencephalography magnetoencephalography electrocorticography ecog

Updated Nov 7, 2025
Python

NeuroKit

neuropsychology / NeuroKit

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

Updated Oct 13, 2025
Python

vlawhern / arl-eegmodels

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

deep-learning tensorflow keras eeg convolutional-neural-networks brain-computer-interface event-related-potentials time-series-classification eeg-classification sensory-motor-rhythm

Updated May 2, 2022
Python

braindecode / braindecode

Deep learning software to decode EEG, ECG or MEG signals

python deep-learning neuroscience pytorch meg eeg neuroimaging electroencephalography magnetoencephalography electrocorticography ecog electroencephalogram

Updated Nov 7, 2025
Python

EEGwithRaspberryPI

pieeg-club / EEGwithRaspberryPI

Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library

open-source raspberry-pi raspberrypi eeg eeg-signals bci texas-instruments raspberry-pi-3 diy-solutions bci-systems eeg-signals-processing biosignal ads1299 raspberry-pi-4 diy-electronics ironbci pieeg

Updated Sep 25, 2025
Python

moabb

NeuroTechX / moabb

Mother of All BCI Benchmarks

machine-learning neuroscience eeg bci brain-computer-interface bci-benchmarks

Updated Nov 7, 2025
Python

pbashivan / EEGLearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

recurrent-neural-networks eeg convolutional-neural-networks

Updated Jul 2, 2020
Python

pyRiemann

pyRiemann / pyRiemann

Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

python machine-learning statistics time-series signal-processing image-processing eeg remote-sensing brain-computer-interface covariance-matrix positive-definite-matrices covariance-estimation riemannian-geometry radar-image symmetric-matrices hermitian-matrices

Updated Nov 6, 2025
Python

eeyhsong / EEG-Conformer

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

eeg transformer attention conformer eeg-transformer eeg-visualization activation-map

Updated Jul 24, 2024
Python

mims-harvard / UniTS

A unified multi-task time series model.

time-series eeg ecg forecasting classification imputation multi-task zero-shot anomaly-detection few-shot unified-model prompt-tuning foundation-models

Updated Sep 26, 2024
Python

pieeg-club / ironbci

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

stm32 eeg eeg-signals eeg-data bci eeg-headset bci-systems eeg-classification eeg-signals-processing ads1299 bci-homework ironbci

Updated Sep 25, 2025
Python

emadeldeen24 / TS-TCC

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

machine-learning deep-learning time-series eeg transfer-learning representation-learning unsupervised-learning human-activity-recognition temporal epilepsy contextual epileptic-seizures fault-diagnosis contrastive-learning sleep-stage-classification

Updated Mar 31, 2024
Python

akaraspt / deepsleepnet

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

deep-learning neural-network cnn eeg lstm sleep biosignals sleep-analysis scoring-sleep-stages

Updated Jul 19, 2024
Python

fooof-tools / fooof

Parameterizing neural power spectra into periodic & aperiodic components.

neuroscience meg eeg electrophysiology power-spectral-density ecog oscillations lfp local-field-potential

Updated Nov 8, 2025
Python

eegsynth / eegsynth

Converting real-time EEG into sounds, music and visual effects

redis osc midi synthesizer eeg ecg dmx emg bci fieldtrip art-net

Updated Oct 18, 2025
Python

neuropsychology / NeuroKit.py

A Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).

Updated Mar 30, 2020
Python

raphaelvallat / antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

python machine-learning algorithm entropy signal-processing neuroscience eeg feature-extraction complexity signal numba fractal-dimension

Updated Feb 4, 2025
Python

TNTLFreiburg / braindecode

Outdated, see new https://github.com/braindecode/braindecode

deep-learning eeg convolutional-networks convolutional-neural-networks brain-signal-decoding

Updated May 11, 2020
Python

eeyhsong / EEG-Transformer

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.

deep-learning eeg transformer attention vit attention-mechanism physiological-signals common-spatial-pattern eeg-classification

Updated Mar 23, 2023
Python

Altaheri / EEG-ATCNet

Attention temporal convolutional network for EEG-based motor imagery classification

eeg classification attention convolutional-neural-networks motor-imagery temporal-convolutional-network multi-head-self-attention

Updated Sep 27, 2025
Python

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Website: github.com/topics/eeg
Wikipedia: Wikipedia