Papers
1–3 of 3Research Paper·Jan 29, 2026
BrainStack: Neuro-MoE with Functionally Guided Expert Routing for EEG-Based Language Decoding
Decoding linguistic information from electroencephalography (EEG) remains challenging due to the brain's distributed and nonlinear organization. We present BrainStack, a functionally guided neuro-mixt...
8.0 viability
Research Paper·Mar 17, 2026
SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval
Decoding brain activity into natural language is a major challenge in AI with important applications in assistive communication, neurotechnology, and human-computer interaction. Most existing Brain-Co...
7.0 viability
Research Paper·Feb 27, 2026
SHINE: Sequential Hierarchical Integration Network for EEG and MEG
How natural speech is represented in the brain constitutes a major challenge for cognitive neuroscience, with cortical envelope-following responses playing a central role in speech decoding. This pape...
5.0 viability