A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes
Sergey D Stavisky, Jonathan C Kao, Paul Nuyujukian, Stephen I Ryu, Krishna V Shenoy
This paper evaluates a brain-machine interface (BMI) using low-frequency local field potentials (LFPs) and a hybrid approach combining LFPs and spikes for improved performance in movement tasks.
Journal of Neural Engineering · May 7, 2015Peer-reviewedNeuroscience