snailpt/MSCFormer

Attention temporal convolutional network for EEG-based motor imagery classification

Official code repository for the paper 'EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals' [NIPS 2024].

Deep learning software to decode EEG, ECG or MEG signals

Mother of All BCI Benchmarks

TorchEEG is a library built on PyTorch for EEG signal analysis.

MetaBCI: China’s first open-source platform for non-invasive brain computer interface. The project of MetaBCI is led by Prof. Minpeng Xu from Tianjin University, China.

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

Python package for Zuna, an EEG foundation model for inference.

Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.