ThinkNet: Compact Architecture Selection and Validation-Gated Ensembles for Subject-Independent MI-EEG Decoding

arXiv:2609.33967 · cs.HC, cs.AI, cs.LG, eess.SP · Submitted 2026-09-27 · Read on arXiv

cs.HC, cs.AI, cs.LG, eess.SP

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Accuracy — 40× in this paper · explained in 1 episode
• Benchmark — 15× in this paper · explained in 2 episodes
• Transformer — 13× in this paper · explained in 2 episodes
• Regret — 11× in this paper · explained in 3 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Provenance — 2× in this paper · explained in 4 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Division of Engineering New York University — 1× in this paper
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

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