Neural State Prediction: Obstructing Shortcut Learning in EEG Foundation Models
cs.AI
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
- NeuralBench: A Unifying Framework to Benchmark NeuroAI Models
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- LoRA: Low-Rank Adaptation of Large Language Models
- CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model
- Laya: A LeJEPA Approach to EEG via Latent Prediction over Reconstruction
- Transformer-based Spatial-Temporal Feature Learning for EEG Decoding
- Joint Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self Supervised Learning
- EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models
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