Tutorial on neural field theory
S Coombes, P beim Graben, R Potthast - Neural fields: theory and …, 2014 - Springer
The tools of dynamical systems theory are having an increasing impact on our
understanding of patterns of neural activity. In this tutorial chapter we describe how to build …
understanding of patterns of neural activity. In this tutorial chapter we describe how to build …
[HTML][HTML] On the properties of nonlinear nonlocal operators arising in neural field models
A Oleynik, A Ponosov, J Wyller - Journal of Mathematical Analysis and …, 2013 - Elsevier
We study the existence and continuous dependence of stationary solutions of the one-
population Wilson–Cowan model on the steepness of the firing rate functions. We …
population Wilson–Cowan model on the steepness of the firing rate functions. We …
Hierarchical Neural Networks, p-Adic PDEs, and Applications to Image Processing
WA Zúñiga-Galindo, BA Zambrano-Luna… - arXiv preprint arXiv …, 2024 - arxiv.org
The first goal of this article is to introduce a new type of p-adic reaction-diffusion cellular
neural network with delay. We study the stability of these networks and provide numerical …
neural network with delay. We study the stability of these networks and provide numerical …
[HTML][HTML] Stationary solutions of continuous and discontinuous neural field equations
E Burlakov, A Ponosov, J Wyller - Journal of Mathematical Analysis and …, 2016 - Elsevier
We study existence and continuous dependence of the solutions to the Hammerstein
operator equation under the transition from continuous nonlinearities in the Hammerstein …
operator equation under the transition from continuous nonlinearities in the Hammerstein …
[HTML][HTML] Spatially localized solutions of the Hammerstein equation with sigmoid type of nonlinearity
A Oleynik, A Ponosov, V Kostrykin… - Journal of Differential …, 2016 - Elsevier
We study the existence of fixed points to a parameterized Hammerstein operator H β,
β∈(0,∞], with sigmoid type of nonlinearity. The parameter β<∞ indicates the steepness of …
β∈(0,∞], with sigmoid type of nonlinearity. The parameter β<∞ indicates the steepness of …
On continuous and discontinuous models of neural fields
EO Burlakov, TV Zhukovskaya, ES Zhukovskiy… - Journal of Mathematical …, 2021 - Springer
This paper is devoted to research in mathematical neurobiology; its main purpose is to
establish the connection between approaches to the modeling of neural fields based on …
establish the connection between approaches to the modeling of neural fields based on …
On the existence of unstable bumps in neural networks
V Kostrykin, A Oleynik - Integral equations and operator theory, 2013 - Springer
We study the neuronal field equation, a nonlinear integro-differential equation of
Hammerstein type. By means of the Amann three fixed point theorem we prove the existence …
Hammerstein type. By means of the Amann three fixed point theorem we prove the existence …
Numerical analysis of bump solutions for neural field equations with periodic microstructure
E Malyutina, A Ponosov, J Wyller - Applied Mathematics and Computation, 2015 - Elsevier
We study numerically single bump solutions of a homogenized Amari equation with periodic
microvariation. Two attempts are made to detect single bumps that depend on the …
microvariation. Two attempts are made to detect single bumps that depend on the …
[PDF][PDF] Hierarchical Neural Networks, p" Adic PDEs, and Applications to Image Processing
B Dibba - 2024 - researchgate.net
The first goal of this article is to introduce a new type of p" adic reaction" diffusion cellular
neural network with delay. We study the stabil" ity of these networks and provide numerical …
neural network with delay. We study the stabil" ity of these networks and provide numerical …
[PDF][PDF] Iteration of inverse problems and data assimilation techniques for neural field equations
J Alswaihli - 2020 - centaur.reading.ac.uk
The need to understand the neural field activity for realistic living systems is a current
challenging task in neuroscience. For several decades, neural fields have been studied and …
challenging task in neuroscience. For several decades, neural fields have been studied and …