Dynamic neural structure for long-term memory formation

Noriyasu Homma, Masao Sakai, Kenichi Abe, Hiroshi Takeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages1-6
Number of pages6
Publication statusPublished - 2004
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 2004 Aug 42004 Aug 6

Other

OtherSICE Annual Conference 2004
CountryJapan
CitySapporo
Period04/8/404/8/6

Keywords

  • Dynamics
  • Long-term memory
  • Neural networks

ASJC Scopus subject areas

  • Engineering(all)

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