A generalized Caputo-type fractional-order neuron model under the electromagnetic field

Creative Commons License

Kumar P., Erturk V. S., Tyagi S., Banas J., Manickam A.

International Journal of Dynamics and Control, cilt.11, sa.5, ss.2179-2192, 2023 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 11 Sayı: 5
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s40435-023-01134-4
  • Dergi Adı: International Journal of Dynamics and Control
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.2179-2192
  • Anahtar Kelimeler: Electromagnetic induction, Error estimation, Euler method, Generalized Caputo fractional derivative, Neuron model, Stability
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

This article considers a fractional-order neuron model under an electromagnetic field in terms of generalized Caputo fractional derivatives. The motivation for incorporating fractional derivatives in the previously proposed integer-order neuron model is that the fractional-order model impresses with efficient effects of the memory, and parameters with fractional orders can increase the model performance by amplifying a degree of freedom. The results on the uniqueness of the solution for the proposed neuron model are established using well-known theorems. The given model is numerically solved by using a generalized version of the Euler method with stability and error analysis. Several graphical simulations are performed to capture the variations in the membrane potential considering no electromagnetic field effects, various frequency brands of external forcing current, and the amplitude and frequency of the external magnetic radiation. The impacts of fractional-order cases are clearly justified.