Traveling pulses and its wave solution scheme in a diffusively coupled 2D Hindmarsh-Rose excitable systems

被引:3
作者
Das, Subhashis [1 ]
Mukherjee, Madhurima [1 ]
Mondal, Argha [1 ,2 ]
Mistri, Kshitish Ch. [3 ]
Mahato, Sanat Kumar [1 ]
Aziz-Alaoui, M. A. [4 ]
机构
[1] Sidho Kanho Birsha Univ, Dept Math, Purulia 723104, West Bengal, India
[2] Univ Essex, Dept Math Sci, Wivenhoe Pk, Colchester, England
[3] Ramakrishna Mission Vivekananda Centenary Coll, Dept Math, Rahara 700118, West Bengal, India
[4] Normandie Univ, UNIHAVRE, LMAH, FR CNRS 3335,ISCN, F-76600 Le Havre, France
关键词
H-R system; Diffusive network; Semi-discrete approximations; Traveling pulses; TANH METHOD; MODEL; SPIKING; PROPAGATION; EXISTENCE;
D O I
10.1007/s11071-022-08168-x
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this article, an analytical approach is demonstrated to show the emerging traveling pulses for the local evolution of a set of diffusively coupled dynamical equations representing neuronal impulses. The derived dynamics governing the traveling pulses solution is described in a space-time reference frame with a two-dimensional excitable Hindmarsh-Rose (H-R) type oscillator. We deduce the conditions that allow us to describe explicitly the nature of propagating traveling pulses. We have constructed the detailed analytical results using semi-discrete approximation method with numerical simulations illuminating possible traveling pulses that include dispersion relations and group velocity equations. We show that the diffusive network can be expressed by the complex Ginzburg-Landau equation. The extended excitable medium with a homogeneous diffusive connection exhibits envelope solitons and multipulses. We observe how the series expansion parameter and coupling play key roles for the appearance of different traveling pulses. The transition phases and amplitude modulations are reported. The obtained results in the form of single solitary pulses and multipulses, reveal the possibility of collective behavior for information processing in excitable system.
引用
收藏
页码:6745 / 6755
页数:11
相关论文
共 43 条
[1]   Synchronization and control of coupled reaction-diffusion systems of the FitzHugh-Nagumo type [J].
Ambrosio, B. ;
Aziz-Alaoui, M. A. .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2012, 64 (05) :934-943
[2]   Wave-Processing of Long-Scale Information by Neuronal Chains [J].
Antonio Villacorta-Atienza, Jose ;
Makarov, Valeri A. .
PLOS ONE, 2013, 8 (02)
[3]   Self-organization of synchronous activity propagation in neuronal networks driven by local excitation [J].
Bayati, Mehdi ;
Valizadeh, Alireza ;
Abbassian, Abdolhossein ;
Cheng, Sen .
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 9
[4]   Synchronization of bursting neurons: What matters in the network topology [J].
Belykh, I ;
de Lange, E ;
Hasler, M .
PHYSICAL REVIEW LETTERS, 2005, 94 (18)
[5]   Traveling waves and pulses in a one-dimensional network of excitable integrate-and-fire neurons [J].
Bressloff, PC .
JOURNAL OF MATHEMATICAL BIOLOGY, 2000, 40 (02) :169-198
[6]   APPLICATION OF A TWO-DIMENSIONAL HINDMARSH-ROSE TYPE MODEL FOR BIFURCATION ANALYSIS [J].
Chen, Shyan-Shiou ;
Cheng, Chang-Yuan ;
Lin, Yi-Ru .
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2013, 23 (03)
[7]   Stable propagation of synchronous spiking in cortical neural networks [J].
Diesmann, M ;
Gewaltig, MO ;
Aertsen, A .
NATURE, 1999, 402 (6761) :529-533
[8]   On Propagation of Excitation Waves in Moving Media: The FitzHugh-Nagumo Model [J].
Ermakova, Elena A. ;
Shnol, Emmanuil E. ;
Panteleev, Mikhail A. ;
Butylin, Andrey A. ;
Volpert, Vitaly ;
Ataullakhanov, Fazoil I. .
PLOS ONE, 2009, 4 (02)
[9]  
Ermentrout B, 2010, MATH FDN NEUROSCIENC, P35, DOI [10.1007/978-0-387-87708-2, DOI 10.1007/978-0-387-87708-2]
[10]   IMPULSES AND PHYSIOLOGICAL STATES IN THEORETICAL MODELS OF NERVE MEMBRANE [J].
FITZHUGH, R .
BIOPHYSICAL JOURNAL, 1961, 1 (06) :445-&