title: Neural recording stability of chronic electrode arrays in freely behaving primates.
abstract: 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.
authors.affiliation: Dept. of Electr. Eng., Stanford Univ., CA, USA. mlinderm@stanford.edu
authors.forename: Michael D
authors.initials: MD
authors.lastname: Linderman
authors.forename: Vikash
authors.initials: V
authors.lastname: Gilja
authors.forename: Gopal
authors.initials: G
authors.lastname: Santhanam
authors.forename: Afsheen
authors.initials: A
authors.lastname: Afshar
authors.forename: Stephen
authors.initials: S
authors.lastname: Ryu
authors.forename: Teresa H
authors.initials: TH
authors.lastname: Meng
authors.forename: Krishna V
authors.initials: KV
authors.lastname: Shenoy
mesh_terms: D000465:Algorithms; D000818:Animals; D004566:Electrodes; D004567:Electrodes, Implanted; D004594:Electrophysiology / Q000379:methods; D004867:Equipment Design; D006257:Head; D008251:Macaca; D008839:Microelectrodes; D008962:Models, Theoretical; D009474:Neurons / Q000378:metabolism*; D015203:Reproducibility of Results; D013997:Time Factors