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About

Ai Kiyohara is a pioneering researcher at the intersection of neuroscience, robotics, and biocomputing, whose work explores the remarkable potential of living neuronal networks as computational and control systems. Kiyohara's most significant contributions center on the development of hybrid biological-robotic systems, most notably the "Vitroid" platform, which interfaces cultured rat hippocampal neurons with miniature robots through multi-electrode arrays. This groundbreaking work demonstrated that dissociated neuronal networks grown on 64-channel planar microelectrode dishes could distinguish between distinct patterns of electrical stimulation and translate those signals into meaningful robotic outputs — effectively using living tissue as a brain-machine interface. With citations spanning from foundational biomodeling frameworks (29 citations) to fuzzy logic bio-robot control systems, Kiyohara has advanced understanding of how emergent network dynamics in cultured neurons can encode information and support adaptive behavior. Particularly notable is the exploration of "logicality" in neuronal networks and their integration into fuzzy control architectures, bridging biological computation with engineering applications. This body of work contributes meaningfully to the fields of brain-computer interfaces, neurorobotics, and in vitro neural computation, offering a compelling vision for biologically inspired intelligent systems.