Abstract
Dynamics of multi-layered neuronal network are challenging and spiral wave suppression is vital particularly in biological systems such as cortical tissue in brain, heart muscles etc., In this study, one-, two- and three-layer neuronal network of an exponential flux memristor-based Morris-Lecar neuron model subjected to low-frequency electromagnetic field (MLELF) is considered and the influence of noise variance in spiral wave suppression is investigated. A Box- Muller type Gaussian noise is used as stimulation and the influence of noise variance on neuronal network is studied. The results exposed the multilayer neuronal network influenced much by a very low noise variance on spiral wave suppression while compared with the single-layer network. As increase in noise variance, the dynamics of the spiral wave changes significantly and ended with turbulence. The study highlighted the spiral waves can be potentially suppressed even the network is under higher frequency external electric field using noise variance.
Similar content being viewed by others
Data availability statement
The data that support the findings of this study are available from the corresponding author upon reasonable request. This manuscript has associated data in a data repository. [Authors’ comment: The authors confirm that the data supporting the findings of this study are available within the article.]
References
Z. Hou, J. Ma, X. Zhan, L. Yang, Y. Jia, Chaos, Solitons & Fractals, vol. 142, (2021)
S.A. Mengiste, A. Ad, K. Arvind, bioRxiv, p. 2021.02.19.431963, (2021)
K. Rajagopal, S. panahi, M. Chen, S. Jafari, B. Bao, Fractals, (2021)
K. Rajagopal, S. Jafari, I. Moroz, A. Karthikeyan, A. Srinivasan, Chaos 31(7), 073117 (2021)
Karthikeyan Rajagopal, Sajad Jafari, Chunbiao Li, Anitha Karthikeyan, Prakash Duraisamy, Chaos, Solitons & Fractals 146, 110855 (2021)
Iqtadar Hussain, Sajad Jafari, Dibakar Ghosh, Matjaž Perc, Nonlinear Dyn. 104, 2711–2721 (2021)
T. Górski, D. Depannemaecker, A. Destexhe, Neural Comput. 33(1), 41–66 (2021)
A. Karthikeyan, I. Moroz, K. Rajagopal, P. Duraisamy, Chaos Solitons Fractals 150, 111144 (2021)
M. Zhan, R. Kapral, Phys Rev E 73(2), 026224 (2006)
E.M.C. Flavio, H. Fenton, H.M. Hastings, S.J. Evans, Chaos 12(3), 852–892 (2002)
F. Varela, J.-P. Lachaux, E. Rodriguez, J. Martinerie, Nat Rev Neurosci 2, 229–239 (2001)
F. P. Zhen Wang, K. Rajagopal, I. I. Hamarash, I. Hussain, Chaos, Solitons & Fractals, 134, (2020)
M. Shafiei, S. Jafari, F. Parastesh, M. Ozer, T. Kapitaniak, Matjăz Perc, Communications in Nonlinear Science and Numerical Simulation, 84, (2020)
F. Tan, L. Zhou, J. Lu, Y. Chu. Journal of the Franklin Institute 357(15), (2020)
W Q Y Wang, H X, Zheng Y H, Sci China Tech Sci, 57, 872-878, (2014)
Y. Wang, J. Ma, Y. Xu, F. Wu, Z. P., International Journal of Bifurcation and Chaos, 27(2), 1750030-1750042, (2017)
Y.X.J. Wu , J. Ma, PLoS One, 12, (2017)
C.W.F. Wu, W. Jin, J. Ma, Phys. A 469, 81–88 (2017)
S. L. Faisal AA, Wolpert DM, Nat Rev Neurosci, 2008, 292-303, (2008)
Z.H. Hou, H.W. Xin, Phys. Rev. Lett. 89, 280601 (2002)
Karthikeyan Rajagopal, Sajad Jafari, Chunbiao Li, Anitha Karthikeyan, P. Duraisamy, Chaos, Solitons and Fractals 146, 110855 (2021)
E.J. Müller, B.R. Munn, J.M. Shine, Nat. Commun. 11, 6337 (2020)
Wu. Yong, Bing Wang, Xiaoxiao Zhang, Hao Chen, Int. J. Modern Phys. B 33(29), 1950354 (2019)
Jun Ma, Lv. Mi, Ping Zhou, Xu. Ying, Tasawar Hayat, Appl. Math. Comput. 307, 321–328 (2017)
S.J. Schiff, X.Y. Huang, J.Y. Wu, Phys Rev Lett 98, (2007)
S. Shima, Y. Kuramoto, Phys. Rev. E 69, 036213 (2004)
T. W. C. Huang X Y, Yang Q C, et al., J Neurosci, 24, 9897-9902, (2004)
Y. Kuramoto, S. Shima, Progr. Theor. Phys. Suppl 150, 115 (2003)
A.G. Richard, Chaos 12(3), 941–951 (2002)
B. Gil, S. Alvin, G. Leon, Phys. Rev. Lett. 88(5), 058101 (2002)
H. Sakaguchi, T. Fujimoto, Phys. Rev. E - Stat. Nonlinear Soft. Matter. Phys. 67(62), 0672021–3 (2003)
J. Ma, L. Huang, J. Tang, H.-P. Ying, W.-Y. Jin, Commun. Nonlinear Sci. Numer. Simul. 17, 4281–4293 (2012)
K. Rajagopal, F. Parastesh, H. Azarnoush, B. Hatef, S. Jafari, V. Berec, Chaos: an interdisciplinary, Journal of Nonlinear Science 29(4)(2019)
J.W. Yan-Qiu Che, W.-J. Si, Xiang-Yang. Fei, Chaos, Solitons & Fractals 39, 454–462 (2009)
Y. Feng, A.J.M. Khalaf, F.E. Alsaadi, T. Hayat, Viet Thanh Pham, Eur. Phys. H. Special Topics 228, 2371–2379 (2019)
W. Zhen, R. Zahra, J. Sajad, E.A. Fawaz, S. Mitja, P. Matjaž, Chaos, Solitons & Fractals 128, 229–233 (2019)
Funding
This work was partially funded by the Research grant of Centre for Nonlinear Systems, Chennai Institute of Technology with reference number CIT/CNS/2021/RP-017.
Author information
Authors and Affiliations
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Rights and permissions
About this article
Cite this article
Ramakrishnan, B., Karthikeyan, A., Srinivasan, A. et al. Effect of Noise variance in spiral wave suppression for a multi-layered neuron model with flux coupling modelled using a memristor. Eur. Phys. J. Spec. Top. 231, 2439–2443 (2022). https://doi.org/10.1140/epjs/s11734-022-00478-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1140/epjs/s11734-022-00478-w