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Ising model – an analysis, from opinions to neuronal states

Here we have developed a mathematical model of a random neuron network with two types of neurons: inhibitory and excitatory. Every neuron was modelled as a functional cell with three states, parallel to hyperpolarised, neutral and depolarised states in vivo. These either induce a signal or not into...

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Bibliographic Details
Main Authors:	Vassili F. Kusmartsev, Wu Zhang, Anna F. Kusmartseva, Alexander G. Balanov, Natalia B. Janson, Feodor Kusmartsev
Format:	Default Article
Published:	2017
Subjects:	Other physical sciences not elsewhere classified Dynamical modelling and synchronization phenomena Mutualistic neural networks Social network Social viruses Physical Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/24569
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