article Open Access
A tri-neuron network model and bifurcation phenomenon with respect to synaptic weight and time delay
International Journal of Statistics and Applied Mathematics · 2018 · Vol. 3(1) · pp. 335–339
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.
Neural Networks and ApplicationsNeural Networks Stability and SynchronizationNeural dynamics and brain functionHopf bifurcationBifurcationMathematicsStability (learning theory)Biological neuron modelBiological applications of bifurcation theoryDimension (graph theory)Steady state (chemistry)PhenomenonSaddle-node bifurcation
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
22%
vs. same field & year
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
