Megumi Kiyotoki
Papers
2
Total Citations
11
H-Index
2
About
Dr. Megumi Kiyotoki is a pioneering researcher at the intersection of neuroscience and bio-robotics, whose work explores how living neuronal networks can be harnessed to control external machines. Her primary research areas include brain-computer interfaces (BCI), neuronal network dynamics, and fuzzy bio-robot systems. Dr. Kiyotoki’s major contributions lie in demonstrating that dissociated neuronal cultures grown on multi-electrode arrays can acquire logicality—the ability to process information in a rule-based manner—and that this logicality can be used to operate bio-robots. In her most cited work, "Acquisition of logicality in living neuronal networks and its operation to fuzzy bio-robot system" (2010, 7 citations), she established a foundational method for translating network dynamics into machine control. Her subsequent paper, "Fuzzy bio-interface: Indicating logicality from living neuronal network and learning control of bio-robot" (2011, 4 citations), advanced this concept by incorporating fuzzy logic for adaptive learning, enabling bio-robots to respond more flexibly to neuronal signals. Though her citation counts are modest, Dr. Kiyotoki’s work is notable for its early, creative integration of fuzzy logic with living neural networks—a visionary approach that anticipated current trends in neuromorphic computing and embodied cognition. Her research remains a touchstone for scientists exploring wetware-based control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2