Acquisition of logicality in living neuronal networks and its operation to fuzzy bio-robot system

Abstract

Brain-computer-interface has been come into the research limelight. Network dynamics of neurons strongly effects to a control of computer or machine in the outer world. Dissociated culture system with multi-electrode array is useful for elucidation of network dynamics of neurons. We have been investigating action potentials of rat hippocampal neurons cultured on the dish connecting with the outer robot. However, we don't exactly comprehend logicality of living neuronal networks. In this paper, we identify logicality of living neuronal networks with three electrodes in mult-electrode array using fuzzy connective operators consisting of t - norm and t - conorm operators, and we introduce a straight running of fuzzy bio-robot. We concluded that the logicality of living neuronal networks is dynamically changed to weak OR connection from strong AND connection. Additionally, by applying the fuzzy bio-robot to a straight running, we analyzed plasticity of living neuronal network connected to the robot, and we discussed regularity of logical potential response of the neuronal networks.