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
Link To Document :
بازگشت