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

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