Rule-dynamical approach to hippocampal network

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.