Considered is a system of delay differential equations modeling a time-delayed connecting network of three neurons without self-feedback.
Linear stability and Hopf bifurcation in a two-neuron network with three delays (one is due to the self-feedback) are investigated.
Jan 10, 2024 · Linear stability and Hopf bifurcation in a two-neuron network with three delays (one is due to the self-feedback) are investigated.
(3) undergoes a Hopf bifurcation which is supercritical and the bifurcating periodic solutions are orbitally asymptotically stable. Numerical simulations ...
Missing: unit | Show results with:unit
Abstract. A neural network model with three neurons and a single time delay is considered. Its linear stability is investigated and Hopf bifurcations are ...
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ABSTRACT: In this paper, we consider a simple discrete three-neuron network model with delays. The characteristic equation of the linearized system at the ...
A simple neural network model with two delays is considered. Linear stability of the model is investigated by analyzing the associated characteristic ...
Missing: three- | Show results with:three-
Feb 23, 2016 · A system of three-unit networks with no self-connection is investigated, the general formula for bifurcation direction of Hopf bifurcation ...
A stochastic differential equation modelling a Hopfield neural network with two neurons is investigated. Its dynamics are studied in terms of local ...
Linear stability and Hopf bifurcation in a three-unit neural network with two delays. Neurocomputing, Vol. 70, No. 1-3 | 1 Dec 2006. Bifurcation and stability ...