brain-computer interfaces
- A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
- CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding
- CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
- Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
- Generalizable, real-time neural decoding with hybrid state-space models
- LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale
- MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding
- NeurIPT: Foundation Model for Neural Interfaces
- Neural-Driven Image Editing