Rule-dynamical approach to hippocampal network

Masami Tatsuno, Yoshinori Nagai, Yoji Aizawa

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

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
JournalNeurocomputing
Volume38-40
DOIs
Publication statusPublished - 2001 Jun

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Cellular automata
Brain
Large scale systems
Neural networks

Keywords

  • Cellular automata
  • Hippocampus
  • Neural networks
  • Rule dynamics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Cellular and Molecular Neuroscience

Cite this

Rule-dynamical approach to hippocampal network. / Tatsuno, Masami; Nagai, Yoshinori; Aizawa, Yoji.

In: Neurocomputing, Vol. 38-40, 06.2001, p. 965-971.

Research output: Contribution to journalArticle

Tatsuno, M, Nagai, Y & Aizawa, Y 2001, 'Rule-dynamical approach to hippocampal network', Neurocomputing, vol. 38-40, pp. 965-971. https://doi.org/10.1016/S0925-2312(01)00420-9
Tatsuno, Masami ; Nagai, Yoshinori ; Aizawa, Yoji. / Rule-dynamical approach to hippocampal network. In: Neurocomputing. 2001 ; Vol. 38-40. pp. 965-971.
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