High-order finite volume approximation for population density model based on quadratic integrate-and-fire neuron

Singh P., Kumar S., Köksal M. E.

ENGINEERING COMPUTATIONS, cilt.36, sa.1, ss.84-102, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 1
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1108/ec-11-2017-0445
  • Dergi Adı: ENGINEERING COMPUTATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.84-102
  • Anahtar Kelimeler: Quadratic integrate-and-fire neuron, Differential difference equation, Finite volume approximation, EFFICIENT IMPLEMENTATION, NETWORKS, EQUATION, SCHEMES, DRIVEN
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

Purpose The purpose of this paper is to develop and apply a high-order numerical method based on finite volume approximation for quadratic integrate-and-fire (QIF) neuron model with the help of population density approach.