Literature DB >> 8977879

Deterministic chaos in mathematical model of pacemaker activity in bursting neurons of snail, Helix pomatia.

A O Komendantov1, N I Kononenko.   

Abstract

Chaotic regimes in a mathematical model of pacemaker activity in the bursting neurons of a snail Helix pomatia, have been investigated. The model includes a slow-wave generating mechanism, a spike-generating mechanism, an inward Ca current, intracellular Ca ions, [Ca2+]in, their fast buffering and uptake by intracellular Ca stores, and a [Ca2+]in-inhibited Ca current. Chemosensitive voltage-activated conductance, gB*, responsible for termination of the spike burst, and chemosensitive sodium conductance, gNa*, responsible for the depolarization phase of the slow-wave, were used as control parameters. These conductances in intact snail bursting neuron are regulated by neuropeptides. Time courses of the membrane potential and [Ca2+]in were employed to analyse different regimes in the model. Histograms of interspike intervals, autocorrelograms, spectral characteristics, one-dimensional return maps, phase plane trajectories, positive Lyapunov exponent and especially cascades of period-doubling bifurcations demonstrate that approaches to chaos were generated. The bifurcation diagram as a function of gB* and the ([Ca2+]in-V) phase diagram of initial conditions reveal fractal features. It has been observed that a short-lasting depolarizing current of elevation of [Ca2+]in may evoke transformation of chaotic activity into a regular bursting one. These kinds of transitions do not require any changes in the parameters of the model. The results demonstrate that chaotic regimes of neuronal activity modulated by neuropeptides may play a relevant role in information processing and storage at the level of a single neuron.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8977879     DOI: 10.1006/jtbi.1996.0215

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  9 in total

1.  Ghostbursting: a novel neuronal burst mechanism.

Authors:  Brent Doiron; Carlo Laing; André Longtin; Leonard Maler
Journal:  J Comput Neurosci       Date:  2002 Jan-Feb       Impact factor: 1.621

2.  Apomorphine reduces subthalamic neuronal entropy in parkinsonian patients.

Authors:  M Lafreniere-Roula; O Darbin; W D Hutchison; T Wichmann; A M Lozano; J O Dostrovsky
Journal:  Exp Neurol       Date:  2010-07-24       Impact factor: 5.330

3.  Computational Approaches and Tools as Applied to the Study of Rhythms and Chaos in Biology.

Authors:  Ana Georgina Flesia; Paula Sofia Nieto; Miguel A Aon; Jackelyn Melissa Kembro
Journal:  Methods Mol Biol       Date:  2022

4.  Signatures of chaos in animal search patterns.

Authors:  Andy M Reynolds; Frederic Bartumeus; Andrea Kölzsch; Johan van de Koppel
Journal:  Sci Rep       Date:  2016-03-29       Impact factor: 4.379

5.  Implementing Signature Neural Networks with Spiking Neurons.

Authors:  José Luis Carrillo-Medina; Roberto Latorre
Journal:  Front Comput Neurosci       Date:  2016-12-20       Impact factor: 2.380

6.  Asymmetry Factors Shaping Regular and Irregular Bursting Rhythms in Central Pattern Generators.

Authors:  Irene Elices; Pablo Varona
Journal:  Front Comput Neurosci       Date:  2017-02-16       Impact factor: 2.380

7.  Detection of Activation Sequences in Spiking-Bursting Neurons by means of the Recognition of Intraburst Neural Signatures.

Authors:  José Luis Carrillo-Medina; Roberto Latorre
Journal:  Sci Rep       Date:  2018-11-13       Impact factor: 4.379

8.  Transformation of context-dependent sensory dynamics into motor behavior.

Authors:  Roberto Latorre; Rafael Levi; Pablo Varona
Journal:  PLoS Comput Biol       Date:  2013-02-14       Impact factor: 4.475

9.  Chaos and Hyperchaos in a Model of Ribosome Autocatalytic Synthesis.

Authors:  Vitaly A Likhoshvai; Vladislav V Kogai; Stanislav I Fadeev; Tamara M Khlebodarova
Journal:  Sci Rep       Date:  2016-12-12       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.