title: Lognormal distribution of firing time and rate from a single neuron?
abstract: Even a single neuron may be able to produce significant lognormal features in its firing statistics due to noise in the charging ion current. A mathematical scheme introduced in advanced nanotechnology is relevant for the analysis of this mechanism in the simplest case, the integrate-and-fire model with white noise in the charging ion current.
authors.affiliation: Center for Learning and Memory, 1 University Station, Stop C7000, The University of Texas at Austin, Austin, TX 78712-0805 USA.
authors.forename: Eszter A
authors.initials: EA
authors.lastname: Kish
authors.affiliation: Department of Engineering Sciences, The Ångström Laboratory, Uppsala University, P. O. Box 534, 75121 Uppsala, Sweden.
authors.forename: Claes-Göran
authors.initials: CG
authors.lastname: Granqvist
authors.affiliation: Institute of Biophysics, Biological Research Centre of the Hungarian Academy of Sciences, Temesvári krt. 62, P. O. B. 521, Szeged, 6701 Hungary.
authors.forename: András
authors.initials: A
authors.lastname: Dér
authors.affiliation: Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128 USA.
authors.forename: Laszlo B
authors.initials: LB
authors.lastname: Kish
keywords: Inter-spike time statistics; Lognormal distribution; Neural dynamics; Noise in ion channels