NeuroTechX/moabb
Mother of All BCI Benchmarks
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 sharing the code or specific preprocessing steps, making it difficult for others to benchmark new algorithms against existing state-of-the-art methods on the same datasets.
How it works
MOABB provides a standardized framework for benchmarking BCI algorithms. It integrates an extensive list of freely available EEG datasets and provides tools to apply popular BCI algorithms to these datasets using a consistent pipeline. This allows algorithms to be ranked and compared objectively across different datasets and paradigms.
Who it’s for
Researchers, scientists, and newcomers to the BCI field who need a reliable way to evaluate and run benchmarks on EEG-based brain-computer interfaces.
Highlights
- Comprehensive benchmark of popular BCI algorithms.
- Access to a wide range of freely available EEG datasets.
- Standardized evaluation pipelines for reproducible research.
- Community-driven open science project under the NeuroTechX umbrella.
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