Robust Neural Stimulation Response Modeling Through Meta-Learning and Pretraining

arXiv:2608.26649 · cs.LG · Submitted 2026-08-27 · Read on arXiv

cs.LG

Submitted: 2026-08-27

Updated: 2026-08-27

Terminology

• Calibration — 73× in this paper · explained in 7 episodes
• Adaptation — 40× in this paper · explained in 1 episode
• Accuracy — 31× in this paper · explained in 1 episode
• Meta-learning — 28× in this paper · explained in 2 episodes
• Robustness — 27× in this paper · explained in 5 episodes
• Sample Efficiency — 17× in this paper · explained in 4 episodes
• Generalization — 8× in this paper · explained in 13 episodes
• Foundation Model — 6× in this paper · explained in 3 episodes
• Regularization — 6× in this paper · explained in 3 episodes
• Test-time Adaptation (TTA) — 6× in this paper · explained in 3 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Model-Agnostic — 5× in this paper · explained in 2 episodes
• Distribution Shift — 4× in this paper · explained in 6 episodes
• Active Learning — 3× in this paper · explained in 6 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Closed-Loop System — 3× in this paper · explained in 4 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Closed-Loop Control — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Online Adaptation — 2× in this paper · explained in 3 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Alignment Methods — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Model Predictive Control (MPC) — 1× in this paper · explained in 5 episodes
• Monte Carlo Cross-Validation — 1× in this paper
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Signal-to-noise ratio (SNR) — 1× in this paper · explained in 2 episodes
• Standardized Benchmarks — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing
• LoRA: Low-Rank Adaptation of Large Language Models

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