BEETL Competition
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About
The NeurIPS 2021 BEETL Competition focuses on benchmarks for EEG transfer learning. It addresses the challenge of using EEG data for healthcare and consumer technologies. The competition includes two tasks: automatic sleep stage annotation (transfer learning in medical diagnostics) and motor imagery decoding (transfer learning for Brain-Computer Interfaces). The goal is to stimulate algorithmic innovation for robust and data-efficient decoding of brain state and intention from EEG data.
Platform
Task
Features
• transfer learning across subjects and datasets
• brain-computer interfaces (bci) transfer learning for motor imagery decoding
• medical diagnostics transfer learning for automatic sleep stage annotation
• transfer learning benchmarks for eeg data
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