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Memorization, abstraction, and generation of a time-series of sensors and motion patterns are some of the most important functions for intelligent robots, because these memories are useful for situation recognition and behavior decision making. In conventional research, recurrent neural networks are often used for such memory functions. However, they cannot memorize a lot of patterns and its learning...