International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2018, Vol. 3, Issue 1, Part E

A tri-neuron network model and bifurcation phenomenon with respect to synaptic weight and time delay


Author(s): Bachchu SK and S Alam

Abstract: We consider a tri-neuron network model and calculate the condition of steady state stability of the equilibrium points analytically. We have also focused on investigating the conditions for single Hopf-Bifurcation with respect to synaptic weight and also the conditions for resonant co-dimension two bifurcations with respect to time delay.

Pages: 335-339 | Views: 578 | Downloads: 42

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How to cite this article:
Bachchu SK, S Alam. A tri-neuron network model and bifurcation phenomenon with respect to synaptic weight and time delay. Int J Stat Appl Math 2018;3(1):335-339.
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International Journal of Statistics and Applied Mathematics