• DocumentCode
    1629776
  • Title

    Dynamic neural structure for long-term memory formation

  • Author

    Homma, Noriyasu ; Sakai, Masao ; Abe, Kenichi ; Takeda, Hiroshi

  • Author_Institution
    Fac. of Med., Tohoku Univ., Sendai, Japan
  • Volume
    3
  • fYear
    2004
  • Firstpage
    2272
  • Abstract
    This paper demonstrates that a novel neural structure can be useful for formation of long-term memory. An essential core of the proposed model is a control signal for learning or memory formation, inspired by a possible biological learning mechanism observed in cerebral cortices and hippocampus. From a biological point of view, the control signal can be generated by the limbic system according to cognitive results. The model involves the feedback from the cognitive results based on the current long-term memories, representing the current knowledge, to a control signal that decides whether the present input should be memorized or not. Simulation results show that the model can possess some biologically observed features of human memory systems.
  • Keywords
    brain models; learning (artificial intelligence); neural nets; biological learning mechanism; cerebral cortices; control signal; dynamic neural structure; feedback; hippocampus; human memory system; limbic system; long-term memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2004 Annual Conference
  • Conference_Location
    Sapporo
  • Print_ISBN
    4-907764-22-7
  • Type

    conf

  • Filename
    1491824