title: Signal source localization with tetrodes: experimental verification.
abstract: Multi-sensor electrodes for extracellular recording of neuronal action potentials have significantly increased the signal-to-noise ratio (SNR) in neurophysiological experiments, ultimately leading to a more accurate interpretation of scientific data. Apart from improving SNR, we hypothesize that these electrodes can be used to estimate the location of underlying neuronal signal sources, and perhaps other parameters such as the size and shape of neurons whose activities are being recorded. This study introduces the multiple signal classification (MUSIC) algorithm to the problem of neuron localization and presents the first experimental demonstration of signal source localization using commercially available 4-sensor electrodes (tetrodes).
authors.affiliation: Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA.
authors.forename: Chang Won
authors.initials: CW
authors.lastname: Lee
authors.forename: Christine E
authors.initials: CE
authors.lastname: King
authors.forename: Shun Chi
authors.initials: SC
authors.lastname: Wu
authors.forename: A Lee
authors.initials: AL
authors.lastname: Swindlehurst
authors.forename: Zoran
authors.initials: Z
authors.lastname: Nenadic
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000465:Algorithms; D001931:Brain Mapping / Q000295:instrumentation* / Q000379:methods; D003198:Computer Simulation; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods; D019544:Equipment Failure Analysis; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*