A neural-network to get correlated information among multiple inputs

Humans can obtain useful information from sensor inputs and motion signals. The author takes a stand on the importance of the information which commonly exists among multiple inputs, which is called correlated information here, especially among sensor and motion signals. First, a method to get correlated information is proposed. In this method we enter multiple inputs to plural neural-networks respectively and make each output of each network communicate with that of the other network. Basic experiments were examined and it was confirmed that the correlated information can be extracted.