Multiday electrophysiological recordings from freely behaving primates.
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.
Gilja
Vikash
V
Department of Computer Science, Stanford University, California, USA. gilja@stanford.edu
Linderman
Michael D
MD
Santhanam
Gopal
G
Afshar
Afsheen
A
Ryu
Stephen
S
Meng
Teresa H
TH
Shenoy
Krishna V
KV
D000200:Action Potentials; D000465:Algorithms; D000818:Animals; D001522:Behavior, Animal; D001931:Brain Mapping; D002940:Circadian Rhythm; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods*; D004594:Electrophysiology / Q000295:instrumentation / Q000379:methods*; D005071:Evoked Potentials; D008251:Macaca; D009068:Movement; D009474:Neurons / Q000473:pathology*; D011336:Probability