Tetsuro Endo
Papers
3
Total Citations
45
H-Index
3
About
Tetsuro Endo explores the intersection of neuroscience, robotics, and complex systems, with a primary focus on how chaotic dynamics in the brain can generate novel, goal-directed actions. His most influential work, "Creating Novel Goal-Directed Actions at Criticality: A Neuro-Robotic Experiment" (2009, 32 citations), proposes a neural network model that mimics cortical chaos—specifically linking a sensory-forward model (parietal lobe functions) with a chaotic network (premotor and prefrontal cortices) to enable robots to create new behaviors on the fly. This research challenges traditional views of motor control, suggesting that intrinsic neural variability, rather than being noise, is a computational resource for flexible action generation. Endo further extends this framework in "Integrative Learning between Language and Action" (2010), demonstrating how symbolic and motor systems can co-develop in a neuro-robotic platform. His work is notable for bridging theoretical concepts from criticality and chaos theory with embodied robotics, offering a pathway toward more adaptive and creative artificial agents. With over 45 total citations across his core publications, Endo’s contributions are particularly relevant for researchers in neurorobotics, cognitive science, and dynamical systems theory seeking to understand how brains—and machines—can innovate beyond pre-programmed routines.
Research Focus
Key Achievements
Top Papers
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- 3Creating novel goal-directed actions using chaotic dynamics4 citations · 2009