Neural Data Transformer 3 is preprinted! We think it can be an off-the-shelf model for all your intracortical motor decoding needs. Decoding gains over your multisession model expected if you have <1.5 hours of data.
It looks like the latest OpenAI model is very doing well across many topics.
My guess is that Deep Research particularly helps with subjects including medicine, classics, and law.
How can we build BCIs that operate robustly in the face of nonstationarities?
Our @NeurIPSConf Datasets and Benchmarks paper introduces the Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark!
Work led by @bkarpowicz_ and @_JoelYe
I had an idea in college which I've long thought could be, in many ways, the ultimate BCI technology. What if instead of using electrodes, we used biological neurons embedded in electronics to communicate with the brain?
Enter biohybrid neural interfaces: science.xyz/news/biohybrid…
