Adaptive Antisynchronization of Multilayer Reaction–Diffusion Neural Networks

@article{Wu2018AdaptiveAO,
  title={Adaptive Antisynchronization of Multilayer Reaction–Diffusion Neural Networks},
  author={Yanzhi Wu and Lu Liu and Jiangping Hu and Gang Feng},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2018},
  volume={29},
  pages={807-818}
}
In this paper, an antisynchronization problem is considered for an array of linearly coupled reaction–diffusion neural networks with cooperative-competitive interactions and time-varying coupling delays. The interaction topology among the neural nodes is modeled by a multilayer signed graph. The state evolution of a neuron in each layer of the coupled neural network is described by a reaction–diffusion equation (RDE) with Dirichlet boundary conditions. Then, the collective dynamics of the… CONTINUE READING