You are here

Fractal ion-channel behavior generates fractal firing patterns in neuronal models

Download pdf | Full Screen View

Date Issued:
Title: Fractal ion-channel behavior generates fractal firing patterns in neuronal models.
Name(s): Liebovitch, Larry S., creator
Lowen, Steven B., creator
White, John A., creator
Type of Resource: text
Genre: Article
Issuance: single unit
Date Issued: 1999-05
Publisher: The American Physical Society
Language(s): English
Identifier: 165477 (digitool), FADT165477 (IID), fau:2607 (fedora), 10.1103/PhysRevE.59.5970 (doi)
FAU Department/College: Department of Psychology Charles E. Schmidt College of Science
Note(s): Fractal behavior has been observed in both ion-channel gating and neuronal spiking patterns, but a causal relationship between the two has not yet been established. Here, the authors examine the effects of fractal ion-channel activity in modifications of two classical neuronal models: Fitzhugh-Nagumo (FHN) and Hodgkin-Huxley (HH). For the modified FHN model, the recovery variable was represented as a population of ion channels with either fractal or Markov gating characteristics. Fractal gating characteristics changed the form of the interspike interval histogram (ISIH) and also induced fractal behavior in the firing rate. For the HH model, the K+ conductance was represented as a collection of ion channels with either quasifractal or Markov gating properties. Fractal gating induced fractal-rate behavior without changing the ISIH. The authors conclude that fractal ion-channel gating activity is sufficient to account for fractal-rate firing behavior.
This manuscript is a version of an article published in Physical Review E v. 59, no. 5 (May 1999) p. 5970-5980
Subject(s): Biophysics--Research
Neural networks (Neurobiology)--Mathematical models
Neurons--Mathematical models
Markov processes--Mathematical models
Ion channels--Mathematical models
Persistent Link to This Record:
Restrictions on Access: ©1999 The American Physical Society
Host Institution: FAU

In Collections