The THOR x NeuroBench Challenge 2026 focuses on advancing Brain-Computer Interfaces (BCIs) by utilizing the Motor Imagery (MI) paradigm.
Participants are tasked with designing event-driven neuromorphic models to classify EEG signals from the OpenBMI dataset into left- or right-hand movements. The goal is to move this technology out of the clinical lab and into wearable decoders for motorized wheelchairs and robotic prosthetics, offering life-changing potential for individuals with stroke, ALS, or spinal cord injuries.
The awards for this challenge are sponsored by the EDGE AI FOUNDATION. This livestream tutorial provides a comprehensive, step-by-step guide to navigating the competition’s submission process.
The session breaks down the specific formatting requirements for the mandatory preprocessed data and walks through a complete example submission. Attendees will receive practical instructions on how to correctly build, package, and submit their solutions using the NeuroBench Code Harness during the Phase-I submission window.