Takashi Sakamoto

Tokyo University of Agriculture and Technology

Papers

Total Citations

H-Index

About

Takashi Sakamoto is a leading researcher in the field of motor learning and neurorehabilitation, with a particular focus on the role of passive motor experience. His work challenges traditional assumptions about how the brain adapts to new environments, exploring whether motor learning can occur without active intention. Sakamoto’s most cited study (2015, 26 citations) demonstrates that humans can adapt to visuomotor rotations through passive movement alone, a finding with profound implications for robot-assisted therapy and brain-computer interfaces. He further investigated this phenomenon in a 2012 paper (6 citations), clarifying the conditions under which passive arm movement drives adaptation. Notably, his 2016 study (2 citations) revealed that conscious awareness of movement does not enhance passive learning, suggesting that implicit, subconscious processes are key. By bridging neuroscience and rehabilitation engineering, Sakamoto’s work informs the design of more effective robotic therapies for stroke patients and others with motor impairments. His research is essential reading for students and scientists interested in the plasticity of the sensorimotor system and the future of neurorehabilitation.