Bifurcation and stability analysis of a neural network model with distributed delays
DOI10.1007/S11071-006-9026-ZzbMath1169.92001OpenAlexW2087558562MaRDI QIDQ840258
Publication date: 11 September 2009
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-006-9026-z
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) Qualitative investigation and simulation of models involving functional-differential equations (34K60) Bifurcation theory of functional-differential equations (34K18)
Related Items (11)
Cites Work
- Unnamed Item
- Bifurcations, stability, and monotonicity properties of a delayed neural network model
- Global Hopf-bifurcation in a neural netlet
- Hopf bifurcation on a two-neuron system with distributed delays: a frequency domain approach
- Stability and Hopf bifurcation analysis on a simplified BAM neural network with delays
- Stability and bifurcation in a neural network model with two delays.
- Hopf bifurcation in bidirectional associative memory neural networks with delays: Analysis and computation
- 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
- Stability, Bifurcation, and Multistability in a System of Two Coupled Neurons with Multiple Time Delays
- A set of stability criteria for delayed cellular neural networks
- Neurons with graded response have collective computational properties like those of two-state neurons.
- Bifurcation analysis of a two-neuron system with distributed delays
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