• DocumentCode
    1816691
  • Title

    Artificial learning

  • Author

    Rossi, Carlos Albedo ; Bodnar, Ladislao

  • Author_Institution
    Chem. Dept., Nat. Technol. Univ., Buenos Aires, Argentina
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    117
  • Abstract
    Superior cognitive process simulation have been and always will be the greatest challenge of computing science, either as a help tool to understand brain functions or to achieve any progress in software and hardware developments that would allow to enhance information management by means of computers. One of the biggest secrets kept by brain information processes is the high associativity, reorganization of neuronal assembly to maintain data processing, and the cause of the re-learning is higher than the original learning of any kind of information. These features are based in the neuronal activity at neuro-physiological level and its adaptation to the environment in which behavior is received, processed and executed as answers to stimulus that are received. In the named decade of brain, within the main three lines of investigation (research), our work would rather be involved with the third or creation of artificial brain systems, trying to explain some of the already mentioned features
  • Keywords
    brain models; content-addressable storage; learning (artificial intelligence); neural nets; neurophysiology; artificial learning; associativity; brain model; computing science; information processing; neuronal activity; neuronal assembly; neurophysiology; reorganization; Assembly; Brain modeling; Chemical processes; Chemical technology; Computational modeling; Computer simulation; Hardware; Information management; Neurons; Software tools;
  • 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.1999.831467
  • Filename
    831467