LMBooth/pybci
Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.
This project helps researchers and developers quickly build and test real-time Brain-Computer Interfaces (BCIs). It takes in brain activity data from LSL-enabled devices and LSL marker streams for timing events, then processes it to classify mental states or intentions. The output is a real-time classification of these states, which can be used to control external applications or provide feedback. It's designed for neuroscience researchers, BCI developers, and those prototyping human-machine interfaces.
No commits in the last 6 months.
Use this if you need to rapidly prototype and iterate on BCI pipelines, focusing on testing different data processing techniques and machine learning models with live brain activity data.
Not ideal if you need a plug-and-play BCI solution for end-users, as this tool requires familiarity with LSL and machine learning concepts for development.
Stars
28
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jul 11, 2025
Commits (30d)
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