title: An efficient algorithm for current source localization with tetrodes.
abstract: In this article we develop a simple algorithm for localization of electrical sources in neurons. The algorithm is based on multiple measurements of neuron's action potentials acquired from multiple sensors, such as tetrodes. We show that in many cases this problem can be solved analytically. We also give an alternative formulation of the problem that is applicable when the analytical approach has no solution. We further show that the problem of source localization and the estimation of the source strength are coupled and can be solved simultaneously. Our method was tested on a single-neuron model with complex dendritic geometry and realistically modeled membrane dynamics. Simulation results suggest that our technique is capable of accurately estimating the location and strength of nearby current sources.
authors.affiliation: Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA. cwlee@uci.edu
authors.forename: Chang Won
authors.initials: CW
authors.lastname: Lee
authors.forename: Hieu
authors.initials: H
authors.lastname: Dang
authors.forename: Zoran
authors.initials: Z
authors.lastname: Nenadic
mesh_terms: D000465:Algorithms; D000818:Animals; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000295:instrumentation / Q000379:methods*; D002415:Cats; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods*; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D009415:Nerve Net / Q000502:physiology; D009474:Neurons / Q000502:physiology*