Stability and bifurcation analysis in tri-neuron model with time delay
DOI10.1007/S11071-006-9137-6zbMath1176.92005OpenAlexW2088577070MaRDI QIDQ842167
Song-Tao Guo, Xiaofeng Liao, Chuandong Li
Publication date: 22 September 2009
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-006-9137-6
Probabilistic models, generic numerical methods in probability and statistics (65C20) Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Asymptotic theory of functional-differential equations (34K25) Stability theory of functional-differential equations (34K20) Bifurcation theory of functional-differential equations (34K18)
Related Items (15)
Cites Work
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- Bifurcations, stability, and monotonicity properties of a delayed neural network model
- Criteria for exponential stability of Cohen-Grossberg neural networks
- An LMI approach to asymptotical stability of multi-delayed neural networks
- Delays in physiological systems
- Global Hopf-bifurcation in a neural netlet
- Introduction to functional differential equations
- Temporal dynamics of a two-neuron continuous network model with time delay
- Stability and bifurcation in a neural network model with two delays.
- Global exponential stability for a class of retarded functional differential equations with applications in neural networks
- Hopf bifurcation and chaos in a single delayed neuron equation with non-monotonic activation function
- Bifurcation analysis on a two-neuron system with distributed delays in the frequency domain
- Delay induced periodicity in a neural netlet of excitation and inhibition
- Global Attractivity in Delayed Hopfield Neural Network Models
- Novel robust stability criteria for interval-delayed Hopfield neural networks
- STABILITY ANALYSIS FOR DELAYED CELLULAR NEURAL NETWORKS BASED ON LINEAR MATRIX INEQUALITY APPROACH
- LMI-based approach for asymptotically stability analysis of delayed neural networks
- Neurons with graded response have collective computational properties like those of two-state neurons.
- HOPF BIFURCATION AND CHAOS IN TABU LEARNING NEURON MODELS
- Periodic solutions for a two-neuron network with delays
- Bifurcation analysis of a two-neuron system with distributed delays
- Bifurcations in a planar system of differential delay equations modeling neural activity
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