• DocumentCode
    1813600
  • Title

    Computer implementation of a multi-neuron expandable network

  • Author

    Alkesza, M.E. ; Reisman, S.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    81
  • Lastpage
    82
  • Abstract
    An attempt was made to develop a small, expandable neural network that would oscillate when presented with an appropriate stimulus. The focus of the research is the modification and expansion of a single neuron simulation into a simulation of an interconnected multineuron oscillatory network. A single neuron model based on the work of Hodgkin-Huxley is used to develop a simulation of a generalized, expandable, 3*3 (9 neurons (N1-N9)) interconnected network. Each neuron has multiple inputs and outputs. These neurons can be either inhibitory or excitatory. The model is general enough to be expandable and should be able to handle any set of random interconnections.
  • Keywords
    bioelectric potentials; biology computing; digital simulation; neural nets; neurophysiology; physiological models; 3 by 3 interconnected network; axon action potential; computer implementation; excitatory neurons; inhibitory neurons; interconnected multineuron oscillatory network; membrane currents; multi-neuron expandable network; multiple inputs; multiple outputs; random interconnections; single neuron simulation; Appropriate technology; Biological system modeling; Biomedical engineering; Biomembranes; Computational modeling; Computer networks; Computer simulation; Delay effects; Fires; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 1992., Proceedings of the 1992 Eighteenth IEEE Annual Northeast
  • Conference_Location
    Kingston, RI, USA
  • Print_ISBN
    0-7803-0902-2
  • Type

    conf

  • DOI
    10.1109/NEBC.1992.285964
  • Filename
    285964