Hiroki Nakagawa

Kyushu Institute of Technology, Waseda University

Papers

Total Citations

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About

Hiroki Nakagawa is a pioneering researcher at the intersection of computational neuroscience and bio-inspired robotics. His primary research areas include neural network modeling of memory systems and the development of chemical-based autonomous robots. Nakagawa's most significant contribution is his neural network model of the entorhinal cortex and hippocampus, which simulates how the brain processes event-order memory for navigation tasks. This 2022 work, with 7 citations, proposes a mechanism for associating places with objects and mentally simulating reward-directed routes after a single experience—a breakthrough in understanding episodic memory. His earlier work on "Chemical Robots" (2011, 4 citations) explores unconventional approaches to autonomous systems, demonstrating his versatility across disciplines. Nakagawa's research bridges theoretical neuroscience and practical robotics, offering insights into how biological memory systems can inspire artificial intelligence. His work on event-order memory processing has implications for developing more sophisticated navigation algorithms and understanding cognitive disorders affecting spatial memory.