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Neuroscience
Japan
2026
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Engineering and Technology
Japan
2025

D-Index & Metrics

Neuroscience

D-Index
108
Citations
51879
World Ranking
575
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Neuroscience in Japan Leader Award
  • 2025 - Research.com Engineering and Technology in Japan Leader Award
  • 2025 - Research.com Neuroscience in Japan Leader Award
  • 2023 - Research.com Engineering and Technology in Japan Leader Award
  • 2023 - Research.com Neuroscience in Japan Leader Award
  • 2022 - Research.com Engineering and Technology in Japan Leader Award
  • 2022 - Research.com Neuroscience in Japan Leader Award

Overview

Mitsuo Kawato is affiliated with the Advanced Telecommunications Research Institute International in Japan. Their research focuses primarily on neuroscience, with significant contributions to subfields such as cognitive neuroscience, experimental and cognitive psychology, radiology, nuclear medicine and imaging, clinical psychology, and neurology.

Their work encompasses various topics, including:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Mental Health Research Topics
  • EEG and Brain-Computer Interfaces
  • Advanced Neuroimaging Techniques and Applications
  • Vestibular and auditory disorders

Mitsuo Kawato has coauthored extensively with several researchers, including:

  • Yasumasa Okamoto (24 publications)
  • Ayumu Yamashita (22 publications)
  • Go Okada (22 publications)
  • Hidehiko Takahashi (22 publications)
  • Aurelio Cortese (21 publications)

Their research has been published repeatedly in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory) - 24 publications
  • Scientific Reports - 8 publications
  • Psychiatry and Clinical Neurosciences - 6 publications
  • arXiv (Cornell University) - 5 publications
  • Molecular Psychiatry - 4 publications

Some of their notable recent papers include:

  • A multi-site, multi-disorder resting-state magnetic resonance image database (2021, Scientific Data)
  • Prevalence and risk factors of internet gaming disorder and problematic internet use before and during the COVID-19 pandemic: A large online survey of Japanese adults (2021, Journal of Psychiatric Research)
  • Generalizable brain network markers of major depressive disorder across multiple imaging sites (2020, PLoS Biology)
  • Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants (2020, Scientific Reports)
  • Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan (2021, NeuroImage Clinical)

Best Publications

  • Internal models for motor control and trajectory planning

    Mitsuo Kawato

  • Internal models in the cerebellum

    Daniel M Wolpert;R.Chris Miall;Mitsuo Kawato

  • Multiple paired forward and inverse models for motor control

    D. M. Wolpert;M. Kawato

  • Formation and control of optimal trajectory in human multijoint arm movement

    Y. Uno;M. Kawato;R. Suzuki

  • A hierarchical neural-network model for control and learning of voluntary movement

    M. Kawato;Kazunori Furukawa;R. Suzuki

  • A unifying computational framework for motor control and social interaction

    Daniel M. Wolpert;Kenji Doya;Mitsuo Kawato

  • The central nervous system stabilizes unstable dynamics by learning optimal impedance.

    Etienne Burdet;Rieko Osu;David W. Franklin;Theodore E. Milner

  • Human cerebellar activity reflecting an acquired internal model of a new tool

    Hiroshi Imamizu;Satoru Miyauchi;Tomoe Tamada;Yuka Sasaki

  • MOSAIC Model for Sensorimotor Learning and Control

    Masahiko Haruno;Daniel M. Wolpert;Mitsuo M. Kawato

  • A computational model of four regions of the cerebellum based on feedback-error learning.

    Mitsuo Kawato;Hiroaki Gomi

  • Feedback-error-learning neural network for trajectory control of a robotic manipulator

    Hiroyuki Miyamoto;Mitsuo Kawato;Tohru Setoyama;Ryoji Suzuki

  • Equilibrium-Point Control Hypothesis Examined by Measured Arm Stiffness During Multijoint Movement

    Hiroaki Gomi;Mitsuo Kawato

  • Multiple model-based reinforcement learning

    Kenji Doya;Kazuyuki Samejima;Ken-ichi Katagiri;Mitsuo Kawato

  • Hierarchical neural network model for voluntary movement with application to robotics

    M. Kawato;Y. Uno;M. Isobe;R. Suzuki

  • Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation

    Kazuhisa Shibata;Takeo Watanabe;Yuka Sasaki;Mitsuo Kawato

  • Learning from demonstration and adaptation of biped locomotion

    Jun Nakanishi;Jun Morimoto;Gen Endo;Gordon Cheng

  • Adaptation to Stable and Unstable Dynamics Achieved By Combined Impedance Control and Inverse Dynamics Model

    David W. Franklin;Rieko Osu;Etienne Burdet;Mitsuo Kawato

  • Human arm stiffness and equilibrium-point trajectory during multi-joint movement

    Hiroaki Gomi;Mitsuo Kawato

  • Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning.

    Masahiko Haruno;Mitsuo Kawato

  • Feedback-Error-Learning Neural Network for Supervised Motor Learning

    Mitsuo Kawato

Frequent Co-Authors

Hiroshi Imamizu
Hiroshi Imamizu University of Tokyo
Takeo Watanabe
Takeo Watanabe Brown University
Etienne Burdet
Etienne Burdet Imperial College London
Jun Morimoto
Jun Morimoto Advanced Telecommunications Research Institute International
Kenji Doya
Kenji Doya Okinawa Institute of Science and Technology
Yuka Sasaki
Yuka Sasaki Brown University
Noriaki Yahata
Noriaki Yahata National Institutes for Quantum and Radiological Science and Technology
Nicolas Schweighofer
Nicolas Schweighofer University of Southern California
Tadashi Isa
Tadashi Isa Kyoto University
Daniel M. Wolpert
Daniel M. Wolpert Columbia University

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