A note on some numerical approaches to solve a \(\dot{\theta}\) neuron networks model

DOI10.1155/2014/863842zbMath1474.65490OpenAlexW2050973384WikidataQ59042135 ScholiaQ59042135MaRDI QIDQ1725155

Feras M. Al Faqih, Samir Kumar Bhowmik, Muhammad N. Islam

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/863842

Mathematics Subject Classification ID

Numerical methods for integral equations (65R20) Neural networks for/in biological studies, artificial life and related topics (92B20)

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Cites Work

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• Dynamics in a delayed neural network model of two neurons with inertial coupling
• Finite to infinite steady state solutions, bifurcations of an integro-differential equation
• Stable numerical schemes for a partly convolutional partial integro-differential equation
• Numerical approximation of a convolution model of \(\dot{\theta}\)-neuron networks
• Traveling waves in a convolution model for phase transitions
• Numerical convergence of a one step approximation of an integro-differential equation
• Numerical solution of a Fredholm integro-differential equation modelling \(\dot \theta\)-neural networks
• Numerical solution of a Fredholm integro-differential equation modelling neural networks
• Stability and convergence analysis of a one step approximation of a linear partial integro-differential equation

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