• DocumentCode
    358339
  • Title

    Extended SC-CNN implementation of the Hindmarsh-Rose neuron

  • Author

    Arena, Paolo ; Fortuna, Luigi ; Frasca, Mattia

  • Author_Institution
    Dipt. Elettrico, Elettronico e Sistemistico, Catania Univ., Italy
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    339
  • Lastpage
    344
  • Abstract
    In this paper an extended state-controlled cellular neural network (SC-CNN) based design of the Hindmarsh-Rose neuron is presented. In particular, both the simplicity and low cost characteristic of the realisation are emphasised. Experimental series of this circuit are examined; either spiking-bursting behaviour or beating activity are observed for different values of a circuit parameter corresponding to a physical DC current in the biological model. Moreover, the implementation of the flexor-extensor central pattern generator with the presented Hindmarsh-Rose neuron design is examined
  • Keywords
    cellular neural nets; neural chips; transient response; Hindmarsh-Rose neuron; beating activity; cellular neural network; flexor-extensor model; pattern generator; spiking-bursting behaviour; Analog circuits; Biological system modeling; Cellular neural networks; Chaos; Circuit simulation; Equations; Hardware; Neurons; Numerical simulation; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
  • Conference_Location
    Catania
  • Print_ISBN
    0-7803-6344-2
  • Type

    conf

  • DOI
    10.1109/CNNA.2000.877352
  • Filename
    877352