MBZUAI [dsml.kz] wins the EEG Foundation Challenge

We are happy to share that our MBZUAI [dsml.kz] team—Anuar Aimoldin, Ayana Mussabayeva, and Yedige Mussabayev—placed first overall by the combined metric in the EEG Foundation Challenge at the NeurIPS Competition Track 2025!

The challenge had two tasks: 1️⃣ Predict reaction time from stimulus-dependent EEG; 2️⃣ Predict the externalizing factor from EEG, a psychometric characteristic representing the shared dimension of psychopathology across different disorders.

The final score combined the metrics from both tasks: 30% for Task 1 and 70% for Task 2.

As winners, we were invited to present our work at the NeurIPS 2025 Competition Track and the Workshop on Foundation Models for the Brain and Body.

🏆 Our solution is available as open source: https://github.com/sneddy/neurosned

Neurosned is a fully reproducible end-to-end training pipeline that includes helper scripts, our manually designed lightweight models, and Jupyter-notebook tutorials.

We hope the project is useful to researchers interested in neuroscience, BCI, or EEG modeling!

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GitHub stars and LinkedIn likes are highly appreciated 😂