• DocumentCode
    1806002
  • Title

    The McCulloch-Pitts model

  • Author

    Hayman, Samantha

  • Author_Institution
    Forestville High Sch., MD, USA
  • Volume
    6
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    4438
  • Abstract
    Neural net theory is founded on the model of McCulloch and Pitts (1943). The article discusses the principles of the model and the associated algebra. The adaptability comes from representing the synaptic action by a variable weight which determines the degree to which a neuron should ´take notice´ of firing signals that take place at the synapse concerned. The neuron is thought to take firing signals at all its synapses into account by summing their effects, both excitatory and inhibitory, and thereby determining whether it should or should not fire. The effect of a synapse is represented by a weight in the range -1 to 1. The effect on a neuron of any particular synapse is the weight if the neuron fire, 0 if not, and the product of the weight and another number if it be not known whether the neuron fires
  • Keywords
    algebra; neural nets; McCulloch-Pitts model; adaptability; algebra; excitatory effects; inhibitory effects; neural net theory; synaptic action; variable weight; Algebra; Biological neural networks; Biological system modeling; Fires; Mathematical model; Nerve fibers; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.830886
  • Filename
    830886