Evaluation of the stability of intracortical microelectrode arrays.
In order to use recorded neural activities from the brain as control signals for neuroprosthesis devices, it is important to maintain a stable interface between chronically implanted microelectrodes and neural tissue. Our previous paper introduced a method to quantify the stability of the recording microelectrodes. In this paper, the method is refined 1) by incorporating stereotypical behavioral patterns into the spike sorting program and 2) by using a classifier based on Bayes theorem for assigning the recorded action potentials to the underlying neural generators. An improved method for calculating stability index is proposed. The results for the stability of microelectrode arrays that differ in structure are presented.
Liu
Xindong
X
Huntington Medical Research Institutes, Neural Engineering Program, Pasadena, CA 91105, USA.
McCreery
Douglas B
DB
Bullara
Leo A
LA
Agnew
William F
WF
D000200:Action Potentials / Q000502:physiology; D000465:Algorithms; D000818:Animals; D001499:Bayes Theorem; D002415:Cats; D002540:Cerebral Cortex / Q000502:physiology*; D016000:Cluster Analysis; D003216:Conditioning, Operant / Q000187:drug effects; D003627:Data Interpretation, Statistical; D004567:Electrodes, Implanted; D004594:Electrophysiology; D008839:Microelectrodes; D009474:Neurons / Q000502:physiology