Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
We have already proposed "biomodeling system", in which the "top-down bio-processing" for sending actuator signals to robot from living neuronal network cultured on a 2-dimensional electrode arrays, and the "bottom-up robot-processing" for electrical stimulation to living neuronal network from robot are connected between neuronal network and robot. In this paper, we discuss two kinds of learning mechanism, which are plasticity learning of living neural network and adaptability learning of fuzzy logic using the tracking estimation of Khepera II in a straight lane. Our goal is reconstruction of the neuronal network, which can process "thinking" in the dissociated culture system.
