• DocumentCode
    274163
  • Title

    Hardware realisable models of neural processing

  • Author

    Clarkson, T.G. ; Gorse, D. ; Taylor, J.G.

  • Author_Institution
    King´´s Coll., London Univ., UK
  • fYear
    1989
  • fDate
    16-18 Oct 1989
  • Firstpage
    242
  • Lastpage
    246
  • Abstract
    An identity recently proposed by Gorse and Taylor (1988) between a certain class of neural model introduced by Taylor (1972) and a piece of electronic hardware, the `probabilistic random access memory´ (pRAM) holds out the possibility of mimicking physiological nets in hardware in just this way. The model has recently been extended by Gorse and Taylor to operate at time scales of the order of the lifetime of a quantum of neurotransmitter in the synaptic cleft, allowing for a greater degree of neurobiological realism, with the opportunity to incorporate details of the firing response and of cell spatial geometry. Computer simulations of a single noisy neuron/pRAM and of a two-pRAM net have so far been performed, with encouraging results. A two-pRAM network has very recently been constructed at King´s College by Clarkson, and is described
  • Keywords
    digital simulation; neural nets; parallel architectures; random-access storage; cell spatial geometry; computer simulation; firing response; neural model; neural nets; neural processing; neurotransmitter; pRAM; probabilistic random access memory; time scales;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1989., First IEE International Conference on (Conf. Publ. No. 313)
  • Conference_Location
    London
  • Type

    conf

  • Filename
    51967