• DocumentCode
    445887
  • Title

    Ability to skip steps emerging from chaotic dynamics

  • Author

    Bueno, Luciana P P ; Araujo, Aluizio F R

  • Author_Institution
    Departament of Electr. Eng., Sao Paulo Univ., Brazil
  • Volume
    2
  • fYear
    2005
  • fDate
    31 July-4 Aug. 2005
  • Firstpage
    741
  • Abstract
    A chaotic bidirectional memory model (C-BAM) is constructed through the inclusion of chaotic neurons in the original BAM. Empiric experiments showed the occurrence of a chaotic dynamic capable to generate large diversity of recalled patterns involving complex excursions over all stored memories. This suggested that the retrieval sequence can model the ability of a novice or the ability of an expert to execute a task. Moreover, the paper illustrates a case in which a novice recall can be transformed into an expert recall through parametric variation.
  • Keywords
    chaos; content-addressable storage; neural nets; autoassociative neural model; chaotic bidirectional memory model; chaotic dynamics; chaotic neurons; expert recall; Animals; Artificial neural networks; Biological system modeling; Chaos; Delay; Electronic mail; Informatics; Magnesium compounds; Neural networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-9048-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.2005.1555944
  • Filename
    1555944