Details

Autor(en) / Beteiligte

• Fraser, George W
• Chase, Steven M
• Whitford, Andrew
• Schwartz, Andrew B

Titel

Control of a brain–computer interface without spike sorting

Ist Teil von

• Journal of neural engineering, 2009-10, Vol.6 (5), p.055004-055004

Ort / Verlag

England: IOP Publishing

Erscheinungsjahr

2009

Quelle

MEDLINE

Beschreibungen/Notizen

• Two rhesus monkeys were trained to move a cursor using neural activity recorded with silicon arrays of 96 microelectrodes implanted in the primary motor cortex. We have developed a method to extract movement information from the recorded single and multi-unit activity in the absence of spike sorting. By setting a single threshold across all channels and fitting the resultant events with a spline tuning function, a control signal was extracted from this population using a Bayesian particle-filter extraction algorithm. The animals achieved high-quality control comparable to the performance of decoding schemes based on sorted spikes. Our results suggest that even the simplest signal processing is sufficient for high-quality neuroprosthetic control.