title: Characterization and interpretation of electrical signals from random networks of cultured neurons.
abstract: The main purpose of this paper is to describe several software tools specifically adapted to characterize the electrophysiological behavior of a population of neurons coupled to a planar array of microtransducers by analyzing the recorded signals. Both graphic and signal processing tools are considered. They include: image analysis of the neuronal network topology, peak detection procedure, multi-graphics visualization, spike classification, cross-correlation, interspike and interbursting interval analysis. These tools are utilized to characterize changes induced in the electrophysiological behavior of populations of cultured neurons by modifications to the medium-culture.
authors.affiliation: Department of Biophysical and Electronic Engineering (D.I.B.E.), University of Genoa, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Bove
authors.forename: G
authors.initials: G
authors.lastname: Genta
authors.forename: G
authors.initials: G
authors.lastname: Verreschi
authors.forename: M
authors.initials: M
authors.lastname: Grattarola
mesh_terms: D000818:Animals; D002478:Cells, Cultured; D002642:Chick Embryo; D003196:Computer Graphics; D003470:Culture Media; D004594:Electrophysiology; D007090:Image Interpretation, Computer-Assisted; D066298:In Vitro Techniques; D008839:Microelectrodes; D009415:Nerve Net / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D012984:Software; D012985:Software Design
chemical_list: D003470:Culture Media