One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment

In three lines1BT (One-Block Transformer) is a compact model for EEG-based cognitive workload assessment. With <0.5M parameters and 0.02 GFLOPs, it uses a minimal latent bottleneck and single cross-attention module. Tested on 11 participants (abstract reasoning, numerical problem-solving, video game), it achieves high workload classification performance for real-time deployment in resource-constrained settings.

Summary generated by Claude — human-verified