Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application
Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Deep learning software to decode EEG, ECG or MEG signals
Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
Mother of All BCI Benchmarks
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
TorchEEG is a library built on PyTorch for EEG signal analysis.
EEG Experiments in Python
β NeuroAtlas: an EEG foundation-model benchmark across sleep, brain-age, epilepsy and BCI (NeurIPS 2026)
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