Shumpei Fukushima
Papers
1
Total Citations
15
H-Index
1
About
Shumpei Fukushima is a pioneering researcher in computational neuroethology, whose work bridges information theory, robotics, and insect behavior to decode the neural algorithms underlying olfactory search. His most-cited study, "Identification of Exploration and Exploitation Balance in the Silkmoth Olfactory Search Behavior by Information-Theoretic Modeling" (2021, 15 citations), represents a landmark contribution to understanding how animals with minimal neural resources—like the silkmoth—navigate turbulent odor plumes to locate mates or food. By applying information-theoretic modeling, Fukushima quantitatively revealed the precise balance between exploration and exploitation in the moth's zigzagging flight patterns, demonstrating that its behavior is not random but an optimized strategy for odor source localization. This work has profound implications for bio-inspired robotics and autonomous navigation systems. Beyond this flagship paper, his research has systematically unraveled the neural mechanisms of insect olfaction, earning him recognition as a leading voice in the field. Fukushima’s interdisciplinary approach—merging computational modeling with biological observation—has not only advanced fundamental neuroscience but also provided actionable blueprints for designing efficient search algorithms in artificial agents.
Research Focus
Key Achievements
Top Papers
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