Global exponential stability of delayed competitive neural networks with different time scales

@article{Lu2005GlobalES,
  title={Global exponential stability of delayed competitive neural networks with different time scales},
  author={Hongtao Lu and Zhenya He},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2005},
  volume={18 3},
  pages={243-50}
}
A competitive neural network model was recently proposed to describe the dynamics of cortical maps, where there are two types of memories: long-term and short-term memories. Such a network is characterized by a system of differential equations with two types of variables, one models the fast neural activity and the other models the slow modification of synaptic strength. In this paper, we introduce a time delay parameter into the neural network model to characterize the signal transmission… CONTINUE READING