Katsumi Tateno
Papers
5
Total Citations
23
H-Index
3
About
Katsumi Tateno is a pioneering researcher at the intersection of computational neuroscience and robotics, specializing in brain-inspired navigation systems and hippocampal memory models. His work focuses on translating neural mechanisms of spatial cognition and episodic memory into practical architectures for home service robots. Tateno’s most significant contributions include the development of a neural network model integrating hippocampus, prefrontal cortex, and amygdala functions for navigation, enabling robots to acquire environment-specific knowledge from minimal experiences. His entorhinal-hippocampal models for event-order memory processing and context-aware knowledge acquisition have been cited over 20 times collectively, demonstrating growing impact in the field. Notably, Tateno has advanced real-time computation of large-scale spiking neural networks using GPU acceleration, achieving real-time simulation of networks with hundreds of thousands of neurons. His integrated circuit models of hippocampal circuits represent a hardware-oriented approach to embodied cognition. Tateno’s work bridges fundamental neuroscience with practical robotics, offering scalable solutions for autonomous agents that learn and navigate like biological systems.
Research Focus
Key Achievements
Top Papers
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