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Control of a brain-computer interface without spike sorting.
J Neural Eng. 2009 Oct; 6(5):055004.JN

Abstract

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.

Authors+Show Affiliations

Department of Neurobiology, University of Pittsburgh, PA 15213, USA. gwf2@pitt.eduNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

19721186

Citation

Fraser, George W., et al. "Control of a Brain-computer Interface Without Spike Sorting." Journal of Neural Engineering, vol. 6, no. 5, 2009, p. 055004.
Fraser GW, Chase SM, Whitford A, et al. Control of a brain-computer interface without spike sorting. J Neural Eng. 2009;6(5):055004.
Fraser, G. W., Chase, S. M., Whitford, A., & Schwartz, A. B. (2009). Control of a brain-computer interface without spike sorting. Journal of Neural Engineering, 6(5), 055004. https://doi.org/10.1088/1741-2560/6/5/055004
Fraser GW, et al. Control of a Brain-computer Interface Without Spike Sorting. J Neural Eng. 2009;6(5):055004. PubMed PMID: 19721186.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Control of a brain-computer interface without spike sorting. AU - Fraser,George W, AU - Chase,Steven M, AU - Whitford,Andrew, AU - Schwartz,Andrew B, Y1 - 2009/09/01/ PY - 2009/9/2/entrez PY - 2009/9/2/pubmed PY - 2009/12/16/medline SP - 055004 EP - 055004 JF - Journal of neural engineering JO - J Neural Eng VL - 6 IS - 5 N2 - 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. SN - 1741-2552 UR - https://www.unboundmedicine.com/medline/citation/19721186/Control_of_a_brain_computer_interface_without_spike_sorting_ L2 - https://doi.org/10.1088/1741-2560/6/5/055004 DB - PRIME DP - Unbound Medicine ER -