Which Neural Signals are Optimal for Brain-Computer Interface Control?
نویسندگان
چکیده
We compared the encoding and decoding performance of several intracortical neural signals—single units, multi-units, and band-limited local field potential (LFP) power—within an eye movement brain-computer interface (BCI) paradigm. We find that broadband high-frequency LFPs exhibit the best performance, and may be an easily obtainable, high-performance signal for BCI applications.
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