Title :
Multiday Electrophysiological Recordings from Freely Behaving Primates
Author :
Gilja, Vikash ; Linderman, Michael D. ; Santhanam, Gopal ; Afshar, Afsheen ; Ryu, Stephen ; Meng, Teresa H. ; Shenoy, Krishna V.
Author_Institution :
Dept. of Comput. Sci., Stanford Univ., CA
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
Continuous multiday broadband neural data provide a means for observing effects at fine timescales over long periods. In this paper we present analyses on such data sets to demonstrate neural correlates for physically active and inactive time periods, as defined by the response of a head-mounted accelerometer. During active periods, we found that 5-25 Hz local field potential (LFP) power was significantly reduced, firing rate variability increased, and firing rates have greater temporal correlation. Using a single threshold fit to LFP power, 93% of the 403 5 minute blocks tested were correctly classified as active or inactive (as labeled by thresholding each block´s maximal accelerometer magnitude). These initial results motivate the use of such data sets for testing neural prosthetics systems and for finding the neural correlates of natural behaviors
Keywords :
accelerometers; bioelectric potentials; biomedical measurement; biomedical transducers; neurophysiology; 5 to 25 Hz; active periods; continuous multiday broadband neural data; firing rate; freely behaving primates; head-mounted accelerometer; inactive periods; local field potential power; multiday electrophysiological recordings; neural correlation; neural prosthetics system testing; single threshold fit; temporal correlation; Accelerometers; Batteries; Cities and towns; Computer science; Data analysis; Electrophysiology; Magnetic heads; Neurosurgery; Testing; USA Councils;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260412