• DocumentCode
    3481999
  • Title

    Building intelligent system: learning from the Cortico-Hippocampal network

  • Author

    Gee Wah Ng ; Chung Huat Tan ; Chaturvedi, Nalin

  • Author_Institution
    Inf. Exploitation Program, DSO Nat. Labs.
  • Volume
    2
  • fYear
    2004
  • fDate
    1-3 Dec. 2004
  • Firstpage
    1248
  • Lastpage
    1253
  • Abstract
    This paper describes the way human brain structures its memory. Human memory could be broadly classified into sensory buffer memory, short-term memory, and long term memory. The work involves an investigation on current human memory function and its association to information processing. Also investigated, is a model of the functioning of a part of the brain, called the cortico-hippocampal region that explains how the brain can learn to predict stimuli based on context cues. The work explores the cortico-hippocampal model and the possibility of an extension of this model. Its possible applications in the field of intelligent computer systems are also being considered in this paper
  • Keywords
    artificial intelligence; brain models; auto-associative memory; cortico-hippocampal network; human brain structures; human memory; intelligent computer system; sensory buffer memory; Brain modeling; Buildings; Context modeling; Humans; Information processing; Intelligent networks; Intelligent sensors; Intelligent structures; Intelligent systems; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2004 IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7803-8643-4
  • Type

    conf

  • DOI
    10.1109/ICCIS.2004.1460770
  • Filename
    1460770