facebookresearch/brainmagick
Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.
PythonNOASSERTION
Stargazers
- alexeygolyshevRussia
- alozowski@huggingface
- auroraImage Professionals GmbH
- bruAristimunhaFederal University of ABC
- caranktJohns Hopkins University
- cucumberian
- davidizatt
- denisfitz57
- doerlbhColumbia University
- edokysi
- elyxlzAudiogen
- evdcush
- February24-LeeSNU
- feelinlucky
- GitHub30Osaka, Japan
- hamzaamraniUniversity of Milan-Bicocca
- HusseinLezzaik@OpenMined
- ikakeyMAG.PAY.LABS LTD
- ingridtv@SINTEFMedTek
- jinnsp
- jmargetaKardioMe
- marcosclub
- mixedenPhraser
- mohamedelfiky@medwing
- p0123nBerlin
- romansavrulinSerbia
- sachinsachdeva
- SatCat
- SerendipityzzzPeking University
- shosseini811Washington D.C
- studen-55
- taoisuSeattle
- vasnt
- VladSmirN
- WuShichaoMax Planck Institute for Gravitational Physics
- yavuzCodiin