Rule-dynamical approach to hippocampal network

Masami Tatsuno*, Yoshinori Nagai, Yoji Aizawa

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


To approach a complex system such as brain, we proposed a new constructive strategy based on rule dynamics. Firstly, the similarity between brain and rule-dynamical cellular automata (CA) was pointed out, and we showed that the rule-dynamical CA could be represented by 2-layered neural networks. Based on these findings, hippocampal network from a rule-dynamical point of view was constructed, and it was shown that the temporal pattern in each region was dependent on the input pathway, that is, the multi-synaptic input produced a spatio-temporal pattern, while the direct input produced a periodic pattern.

Original languageEnglish
Pages (from-to)965-971
Number of pages7
Publication statusPublished - 2001 Jun


  • Cellular automata
  • Hippocampus
  • Neural networks
  • Rule dynamics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Cellular and Molecular Neuroscience


Dive into the research topics of 'Rule-dynamical approach to hippocampal network'. Together they form a unique fingerprint.

Cite this