• DocumentCode
    145771
  • Title

    Multiprocessors parallel computer for the signal processing of living nervous system

  • Author

    Attila, Godo Zoltan ; Marcell, Loos ; Denes, Kocsis ; Csaba, Revesz

  • Author_Institution
    Dept. of Inf. Technol., Univ. of Debrecen, Debrecen, Hungary
  • fYear
    2014
  • fDate
    23-25 Jan. 2014
  • Firstpage
    269
  • Lastpage
    274
  • Abstract
    The mode of action of psychopharmacons have been studied thoroughly by the analysis of firing patterns led from the living nervous system. Examining even a very small region of the brain requires enormous calculational capacity. This is most effective with the help of an artificial multiprocessing neural network, similar to the living nervous sytem. In the course of our work we use a self-developed 128-microelectrode block to decode the firing matrix of the living nervous system. The signals have been processed with the help of a 9-processor neural network. We have established a two-way analog contact with the living nervous system. Already known algorithms can be applied to the system, whilst the unique hardware structure also allows new algorithms to be developed.
  • Keywords
    brain; medical signal processing; microelectrodes; microprocessor chips; neural nets; neurophysiology; parallel processing; 9-processor neural network; artificial multiprocessing neural network; brain; calculational capacity; firing matrix; firing patterns; hardware structure; living nervous system; microelectrode block; multiprocessors parallel computer; psychopharmacons; signal processing; two-way analog contact; Computers; Firing; Microelectrodes; Nervous system; Servers; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics (SAMI), 2014 IEEE 12th International Symposium on
  • Conference_Location
    Herl´any
  • Print_ISBN
    978-1-4799-3441-6
  • Type

    conf

  • DOI
    10.1109/SAMI.2014.6822420
  • Filename
    6822420