We illustrate our approach on a model of a single neuron that consists of three ordinary differential equations and show that the system could be simplified ...
The method maps between the variables of a bursting neural network (for which the equations are known) and the variables of a simplified model (for which the ...
Bibliographic details on Coarse-Graining and Simplification of the Dynamics Seen in Bursting Neurons.
Reports Outline Applied Dynamical Systems Study Results from Massey University (Coarse-Graining and Simplification of the Dynamics Seen in Bursting Neurons) ...
Coarse-Graining and Simplification of the Dynamics Seen in Bursting Neurons, Ben-Tal, A.; Kevrekidis, Yannis G. 1-Aug-2012, Coarse ...
Jul 8, 2013 · The method maps between the variables of a bursting neural network (for which the equations are known) and the variables of a simplified model ( ...
Jan 1, 2019 · if coarse–graining clustered together neurons that have very different place fields, then we might worry that our search for simplification ...
An equation-free approach to coarse-graining the dynamics of ...
www.aimsciences.org › jcd.2014.1.111
We propose and illustrate an approach to coarse-graining the dynamics of evolving networks, i.e., networks whose connectivity changes dynamically.
Jan 10, 2024 · We explore a systematic approach to studying the dynamics of evolving networks at a coarse-grained, system level.
Bursting is a manifestation of the slow–fast dynamics observed in neuroscience ... teger is then used to characterize the coarse-grained dynamics of the system.