NeuroTechX/moabb

What it solves

MOABB addresses the lack of reproducibility in Brain-Computer Interface (BCI) research. It solves the problem where researchers often publish results without providing the code or detailed preprocessing steps, making it difficult for others to benchmark new algorithms against existing state-of-the-art methods.

How it works

MOABB provides a standardized framework for building comprehensive benchmarks of BCI algorithms. It integrates an extensive list of freely available EEG (electroencephalographic) datasets and provides tools to apply and evaluate popular BCI algorithms across these datasets using a consistent pipeline.

Who it’s for

It is designed for BCI researchers, neuroscientists, and developers who need to evaluate the same algorithm on multiple datasets to ensure results are reproducible and trustworthy.

Highlights

• own a comprehensive benchmark of the most popular BCI algorithms.
• Access to a wide range of freely available EEG datasets.
• Standardized evaluation pipelines to reduce the impact of hidden preprocessing "tricks".
• Open-source reference point for future algorithmic developments in the field.