Neural Recording Stability of Chronic Electrode Arrays in Freely Behaving Primates

• Published in: 2006 International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2006; pp. 4387 - 4391
• Main Authors: Linderman, M.D., Gilja, V., Santhanam, G., Afshar, A., Ryu, S., Meng, T.H., Shenoy, K.V.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 2006
• Subjects: Algorithms; Animals; Electrodes; Electrodes, Implanted; Electrophysiology - methods; Equipment Design; Head; Macaca; Microelectrodes; Models, Theoretical; Neural prosthesis; Neurons - metabolism; Noise shaping; Prosthetics; Protocols; Prototypes; Reproducibility of Results; Shape; Signal processing algorithms; Sorting; Stability; Time Factors
• ISBN: 9781424400324; 1424400325
• ISSN: 1557-170X
• DOI: 10.1109/IEMBS.2006.260814

Chronically implanted electrode arrays have enabled a broad range of advances, particularly in the field of neural prosthetics. Those successes motivate development of prototype implantable prosthetic processors for long duration, continuous use in freely behaving subjects. However, traditional experimental protocols have provided limited information regarding the stability of the electrode arrays and their neural recordings. In this paper we present preliminary results derived from long duration neural recordings in a freely behaving primate which show variations in action potential shape and RMS noise across a range of time scales. These preliminary results suggest that spike sorting algorithms can no longer assume stable neural signals and will need to transition to adaptive signal processing methodologies to maximize performance