• DocumentCode
    2340595
  • Title

    Cognitive models of the brain

  • Author

    Yingxu Wang ; Ying Wang

  • fYear
    2002
  • fDate
    19-20 Aug. 2002
  • Firstpage
    259
  • Lastpage
    269
  • Abstract
    The human brain is the most complicated organ in the universe and a new frontier yet to be explored in an interdisciplinary approach. Investigation of the brain is a unique problem that requires recursive mental power to explore the brain using the brain. This paper attempts to develop functional and cognitive models of the brain by using cognitive informatics and formal methodologies. This paper adopts a memory-based approach to explore the brain, and to demonstrate that memory is the foundation for any natural intelligence. Structures of memories are explored and cognitive models of the natural intelligence are proposed. Cognitive mechanisms of the brain, including hypotheses and theories on the thinking engine of the brain, long-term memory establishment, and roles of sleep in long-term memory development, are investigated. The models and theories are applied to explain a number of fundamental physiological and psychological phenomena.
  • Keywords
    artificial intelligence; brain models; neurophysiology; sleep; cognitive informatics; cognitive models; formal methodologies; functional models; human brain; long-term memory establishment; natural intelligence; physiological phenomena; psychological phenomena; sleep; thinking engine; Artificial intelligence; Bioinformatics; Brain modeling; Cognitive informatics; Computer architecture; Drives; Genomics; Humans; Psychology; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2002. Proceedings. First IEEE International Conference on
  • Conference_Location
    Calgary, Alberta, Canada
  • Print_ISBN
    0-7695-1724-2
  • Type

    conf

  • DOI
    10.1109/COGINF.2002.1039306
  • Filename
    1039306