A minimal model for a slow pacemaking neuron
Creators
- 1. Nonlinear dynamics department, Institute of Applied Physics, RAS, 46 Ulyanov St., Nizhny Novgorod 603950 (Russian Federation)
- 2. Department of Mathematical Sciences and Center for Mathematical Biosciences, IUPUI, 402 N. Blackford St., Indianapolis, IN 46202 (United States)
Description
Highlights: ► We have constructed a phenomenological model for slow pacemaking neurons. ► The model implements a nonlinearity introduced by an ion-dependent current. ► The new nonlinear dependence allows for differentiating responses to various stimuli. ► We discuss implications of our results for a broad class of neurons. - Abstract: We have constructed a phenomenological model for slow pacemaking neurons. These are neurons that generate very regular periodic oscillations of the membrane potential. Many of these neurons also differentially respond to various types of stimulation. The model is based on FitzHugh–Nagumo (FHN) oscillator and implements a nonlinearity introduced by a current that depends on an ion concentration. The comparison with the original FHN oscillator has shown that the new nonlinear dependence allows for differentiating responses to various stimuli. We discuss implications of our results for a broad class of neurons.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.chaos.2012.01.007Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2012.01.007;
- PII
- S0960-0779(12)00028-8;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 45
- Journal Issue
- 5
- Journal Page Range
- p. 640-644
- ISSN
- 0960-0779
Conference
- Title
- Thematic school of CNRS on chaos and dynamics in biological networks
- Dates
- 3-7 May 2010
- Place
- Cargese (France)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 43076618
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- BIOLOGICAL MODELS; MEMBRANES; NERVE CELLS; NONLINEAR PROBLEMS; OSCILLATIONS; OSCILLATORS; PERIODICITY; POTENTIALS; STIMULATION; STIMULI
- Descriptors DEC
- ANIMAL CELLS; ELECTRONIC EQUIPMENT; EQUIPMENT; SOMATIC CELLS; VARIATIONS
Optional Information
- Copyright
- Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.