Acquired sensorimotor coordinated signal transformation in a bi-directional neural network model

In general, a biological neural system is divided into two major parts, one is a neural system for motor control and the other is that for sensory reception, and they work not independently but cooperatively to perform various kinds of complex activities. Therefore its disorders produce strange phenomena. In a previous study, it was observed that a sensorimotor coordinated neural network model generates a trained pattern reversely when some special condition is provided. In this paper, computer simulation studies are performed from the viewpoints of neural information processing to investigate its sensorimotor coordination which is developed throughout the training. From the results, it is found that the way for information integration developed antagonistically or not plays an important role in performing signal transformation