Dynamic neural structure for long-term memory formation

Noriyasu Homma, Masao Sakai, Kenichi Abe, Hiroshi Takeda

Research output: Contribution to conferencePaperpeer-review


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
Number of pages6
Publication statusPublished - 2004
EventSICE Annual Conference 2004 - Sapporo, Japan
Duration: 2004 Aug 42004 Aug 6


ConferenceSICE Annual Conference 2004


  • Dynamics
  • Long-term memory
  • Neural networks


Dive into the research topics of 'Dynamic neural structure for long-term memory formation'. Together they form a unique fingerprint.

Cite this