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Hopf bifurcation analysis of two neurons with three delays. (English) Zbl 1149.34046
The authors study linear stability and give conditions and direction for Hopf bifurcations in the following system of coupled delay differential equations (two neurons with three delays) \align \dot{x}(t) & = - x(t) +a_{11}f(x(t-\tau)) +a_{12}f(y(t-\tau_1)) ,\\ \dot{y}(t) & = - y(t) +a_{21}f(x(t-\tau_2)) +a_{22}f(y(t-\tau)). \endalign Here $x$ and $y$ are scalar variables corresponding to two neurons, $\tau_j$ denote the transmission delays, $a_{ij}$ are synaptic weights. Additionally, $f(0)=0$ so that the zero solution is the equilibrium, which produces Hopf bifurcations studied.

##### MSC:
 34K18 Bifurcation theory of functional differential equations 34K20 Stability theory of functional-differential equations 34K13 Periodic solutions of functional differential equations
##### Keywords:
Hopf bifurcation; neural network; linear stability
dde23
Full Text:
##### References:
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