CaMBRAIN: Real-time, Continuous EEG Inference with Causal State Space Models

CaMBRAIN is a Mamba-based causal state space model designed for real-time, continuous inference on variable-length EEG signals, addressing quadratic scaling limitations of attention-based models. It introduces a multi-stage self-supervised training pipeline for long-range memory retention and achieves state-of-the-art results across three EEG datasets with over 10x throughput improvement.