Innovative Research in BCI
We specialize in hybrid research combining neural signal processing and language models to enhance brain-computer interface performance and user experience.
Our Research Approach
Our team focuses on developing advanced BCI systems that predict user intentions, improving task completion and reducing errors through innovative methodologies.
Neural Signals
Integrating neural processing with language model error correction.
Hybrid Approach
Combining BCI with neural language models for error prediction.
User Satisfaction
Measuring satisfaction through controlled experimental evaluations.
Innovation
Hybrid BCI approach using neural signals and language model compensation.