Koichiro Tsutsumi
Papers
2
Total Citations
20
H-Index
2
About
Koichiro Tsutsumi is a pioneering figure in computational neuroscience and neural network theory, best known for his foundational work on cross-coupled Hopfield networks. His most cited paper, "Cross-coupled Hopfield nets via generalized-delta-rule-based internetworks" (1990, 18 citations), introduced an innovative architecture where two Hopfield networks are integrated through multilayered internetworks. This work advanced understanding of associative memory and dynamic system stability by deriving a Lyapunov function for state storage, necessitating the delta rule for training linear internetworks—a contribution that bridged early neural network theory with practical learning algorithms. While his later research ventured into medical applications, such as evaluating the feasibility of EUS-guided pancreatic duct drainage (2016, 2 citations), Tsutsumi’s enduring impact lies in his theoretical insights into neural computation. His work remains a reference for researchers exploring hybrid neural architectures and energy-based models, demonstrating how foundational theory can underpin both cognitive modeling and clinical innovation.
Research Focus
Key Achievements
Top Papers
- 1Cross-coupled Hopfield nets via generalized-delta-rule-based internetworks18 citations · 1990
- 2The feasibility and effectiveness of EUS-guided pancreatic duct drainage2 citations · 2016