Selected work

Verification Bottleneck for BCI

Feb 2026

A framework for thinking about thought-to-text as a verification problem, not only a decoding problem.

Thought-to-text systems are usually framed as decoding problems: recover the intended language from a noisy neural signal.

This project asks what changes when a strong language model can also verify, rank, and repair candidate interpretations before they reach the user.