DocumentCode
1613337
Title
Real-time Detection of Unitary Events For Cortical Control
Author
Parikh, Hirak ; Marzullo, Timothy C. ; Gage, Gregory ; Kipke, Daryl
Author_Institution
Dept. of Biomed. Eng., Michigan Univ., Ann Arbor, MI
fYear
2005
fDate
6/27/1905 12:00:00 AM
Firstpage
2122
Lastpage
2125
Abstract
Traditional brain-machine interfaces have typically focused on methods that use rate-based codes as a source for control signals. Opposed to rate, timing of firing across different neurons and within each neuron could also provide information that can be used for controlling brain-machine interfaces or neuroprosthetic devices. Findings have indicated that synchronization of individual spike discharges may help serve the organization of cortical motor processes. We are investigating neural firing synchrony in the context of using it for real-time control for neuroprostheses systems. Our results with rats suggest that subjects can be trained to synchronize neural firing and increase unitary events i.e. spike coincidence patterns that are significantly above chance. Temporal coding methods could be used as additional or alternative cortical control signals for neuroprostheses and brain machine interfaces
Keywords
bioelectric phenomena; brain; encoding; medical control systems; neurophysiology; prosthetics; synchronisation; brain-machine interfaces; cortical control; cortical control signals; cortical motor processes; individual spike discharges; neural firing synchrony; neurons; neuroprosthetic devices; rate-based codes; real-time control; real-time unitary event detection; spike coincidence patterns; synchronization; temporal coding methods; Biomedical measurements; Control systems; Event detection; Fault location; Information resources; Neural prosthesis; Neurons; Rats; Real time systems; Timing; brain-machine interfaces; cortical control; cortical neuroprostheses; spike synchrony; temporal coding; unitary events;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1616879
Filename
1616879
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