Literature DB >> 32399077

Multiple bifurcations and coexistence in an inertial two-neuron system with multiple delays.

Zigen Song1, Bin Zhen2, Dongpo Hu3.   

Abstract

In this paper, we construct an inertial two-neuron system with multiple delays, which is described by three first-order delayed differential equations. The neural system presents dynamical coexistence with equilibria, periodic orbits, and even quasi-periodic behavior by employing multiple types of bifurcations. To this end, the pitchfork bifurcation of trivial equilibrium is analyzed firstly by using center manifold reduction and normal form method. The system presents different sequences of supercritical and subcritical pitchfork bifurcations. Further, the nontrivial equilibrium bifurcated from trivial equilibrium presents a secondary pitchfork bifurcation. The system exhibits stable coexistence of multiple equilibria. Using the pitchfork bifurcation curves, we divide the parameter plane into different regions, corresponding to different number of equilibria. To obtain the effect of time delays on system dynamical behaviors, we analyze equilibrium stability employing characteristic equation of the system. By the Hopf bifurcation, the system illustrates a periodic orbit near the trivial equilibrium. We give the stability regions in the delayed plane to illustrate stability switching. The neural system is illustrated to have Hopf-Hopf bifurcation points. The coexistence with two periodic orbits is presented near these bifurcation points. Finally, we present some mixed dynamical coexistence. The system has a stable coexistence with periodic orbit and equilibrium near the pitchfork-Hopf bifurcation point. Moreover, multiple frequencies of the system induce the presentation of quasi-periodic behavior. The system presents stable coexistence with two periodic orbits and one quasi-periodic behavior. © Springer Nature B.V. 2020.

Entities:  

Keywords:  Coexistence; Inertial term; Multiple bifurcations; Neural system; Quasi-periodic behavior; Time delay

Year:  2020        PMID: 32399077      PMCID: PMC7203331          DOI: 10.1007/s11571-020-09575-9

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  12 in total

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Authors:  Gan Huang; Jinde Cao
Journal:  Neural Netw       Date:  2009-10-29

2.  Stability analysis of Cohen-Grossberg neural networks of neutral-type: Multiple delays case.

Authors:  Neyir Ozcan
Journal:  Neural Netw       Date:  2019-02-06

3.  Bifurcation analysis and diverse firing activities of a modified excitable neuron model.

Authors:  Argha Mondal; Ranjit Kumar Upadhyay; Jun Ma; Binesh Kumar Yadav; Sanjeev Kumar Sharma; Arnab Mondal
Journal:  Cogn Neurodyn       Date:  2019-03-02       Impact factor: 5.082

4.  A basic bifurcation structure from bursting to spiking of injured nerve fibers in a two-dimensional parameter space.

Authors:  Bing Jia; Huaguang Gu; Lei Xue
Journal:  Cogn Neurodyn       Date:  2017-02-02       Impact factor: 5.082

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Journal:  J Gen Physiol       Date:  1970-04       Impact factor: 4.086

6.  Collective behavior of large-scale neural networks with GPU acceleration.

Authors:  Jingyi Qu; Rubin Wang
Journal:  Cogn Neurodyn       Date:  2017-06-30       Impact factor: 5.082

7.  Neurons with graded response have collective computational properties like those of two-state neurons.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1984-05       Impact factor: 11.205

8.  Models of membrane resonance in pigeon semicircular canal type II hair cells.

Authors:  D E Angelaki; M J Correia
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

9.  Dynamics of Time Delay-Induced Multiple Synchronous Behaviors in Inhibitory Coupled Neurons.

Authors:  Huaguang Gu; Zhiguo Zhao
Journal:  PLoS One       Date:  2015-09-22       Impact factor: 3.240

Review 10.  Can the activities of the large scale cortical network be expressed by neural energy? A brief review.

Authors:  Rubin Wang; Yating Zhu
Journal:  Cogn Neurodyn       Date:  2015-09-03       Impact factor: 5.082

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