Pretraining for Sample-Efficient Neural Interfaces
This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.13507v1 Announce Type: new Abstract: Brain-computer interfaces (BCIs) decode neural activity to restore lost function. Typically, training a high-performance neural decoder requires a large labeled dataset to be collected from every new subject. One way to reduce the labeled data cost is…
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-09-15 04:00 · arXiv cs.LG
Pretraining for Sample-Efficient Neural Interfaces