• DocumentCode
    2017273
  • Title

    Towards hardware design of realistic neurobiological systems

  • Author

    Mount, Murray W.

  • Author_Institution
    Dept. of Digital Syst., Monash Univ., Clayton, Vic., Australia
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    119
  • Abstract
    Some general issues relating to the design of artificial neural systems based upon known neurobiological structures and functions are discussed, and then an example of a reconfigurable hybrid analog-digital neural processor array designed along these lines is presented. Our approach is to make use of a universal neurocomputational element which can be used to build up neural network topologies inspired particularly by those of the cerebral and cerebellar cortex. The processor element is based upon consideration of key neurobiological mechanisms which should give rise to biologically realistic global behaviours, rather than selecting circuits based upon their expectation to perform functions described by specific artificial neural network paradigms
  • Keywords
    neural chips; neural net architecture; neurophysiology; reconfigurable architectures; artificial neural network paradigms; artificial neural systems; biologically realistic global behaviour; cerebellar cortex; hardware design; neural network topologies; neurobiological mechanisms; neurobiological structures; processor element; realistic neurobiological systems; reconfigurable hybrid analog-digital neural processor array; universal neurocomputational element; Analog-digital conversion; Artificial neural networks; Biological system modeling; Circuits; Computational biology; Digital systems; Hardware; Network topology; Process design; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-5871-6
  • Type

    conf

  • DOI
    10.1109/ICONIP.1999.843972
  • Filename
    843972