A network of chaotic elements for information processing

  title={A network of chaotic elements for information processing},
  author={Shin Ishi and Kenji Fukumizu and Sumio Watanabe},
  journal={Neural Networks},
A Globally Coupled Map (GCM) model is a network of chaotic elements that are globally coupled with each other. In this paper, rst, a modi ed GCM model called the \Globally Coupled Map using the Symmetric map (S-GCM)" is proposed. The SGCM is designed for information-processing applications. The S-GCM has attractors called \cluster frozen attractors," each of which is taken to represent information. This paper also describes the following characteristics of the S-GCM which are important to… CONTINUE READING