Representational and Functional Robustness to Electrode Montages in EEG Foundation Models
cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- Understanding intermediate layers using linear classifier probes
- EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
- LuMamba: Latent Unified Mamba for Electrode Topology-Invariant and Efficient EEG Modeling
- HEAR: An EEG Foundation Model with Heterogeneous Electrode Adaptive Representation
- BrainRVQ: A High-Fidelity EEG Foundation Model via Dual-Domain Residual Quantization and Hierarchical Autoregression
- NeurIPT: Foundation Model for Neural Interfaces
- NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
- Channel Adaptation for EEG Foundation Models: A Systematic Benchmark Across Architectures, Tasks, and Training Regimes
- OmniBench: Towards The Future of Universal Omni-Language Models
- EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models
- CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
- FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
- Beyond Accuracy: Robustness, Interpretability and Expressiveness of EEG Foundation Models
- SingLEM: Single-Channel Large EEG Model
- EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models
- BIOT: Cross-data Biosignal Learning in the Wild
- BrainWave: A Brain Signal Foundation Model for Clinical Applications
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