George W Fraser et al 2009 J. Neural Eng. 6 055004 doi:10.1088/1741-2560/6/5/055004
George W Fraser1,2,5, Steven M Chase1,2,3, Andrew Whitford2,4 and Andrew B Schwartz1,2,4
Show affiliationsTwo 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.
87.85.Ng Biological signal processing
87.19.R- Mechanical and electrical properties of tissues and organs
Issue 5 (October 2009)
Received 16 January 2009, accepted for publication 15 July 2009
Published 1 September 2009
George W Fraser et al 2009 J. Neural Eng. 6 055004
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