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

Deep learning software to decode EEG, ECG or MEG signals

Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be used to score sleep stages.

Real-time analysis of intracranial neurophysiology recordings.

Time series visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.

This repository provides analysis code to analyze intracranial electrophysiological data with data-driven spatial filters.

All-resolutions Inference for M/EEG in Python

group sequential tests for neuroimaging

Tài liệu ghi chép về các dự án BCI trong việc dùng sóng não điều khiển các vật thể trong không gian, kết nối sóng não với internet, chuyển suy nghĩ thành video,...

Diseño e implementación de electrocardiomiógrafo como herramienta para realizar estudio de disfunción muscular y cardiovascular en pacientes con enfermedades respiratorias crónicas

Plan, create and localize high-density ECoG grid onto the brain surface

Toolbox for visualizing ECoG electrodes on brain surface

see GRIDGEN

https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.25144