Mitsuo Kawato

Mitsuo Kawato, David W. Franklin, Theodore E. Milner, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Integration of Visual and Somatosensory Information for Preshaping Hand in Grasping Movements

Naohiro Fukumura, Mitsuo Kawato, Ryoji Suzuki, 1992, NIPS.

An empirical exploration of phase resetting for robust biped locomotion with dynamical movement primitives

Jun Morimoto, Gen Endo, Jun Nakanishi, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Multiple Paired Forward-Inverse Models in the Cerebellum

Mitsuo Kawato, M. Kawato, 1998, ICONIP.

Feedback error learning of movement by multi-layer neural network

Mitsuo Kawato, Ryoji Suzuki, Tohru Setoyama, 1988, Neural Networks.

Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes

Masa-aki Sato, Rieko Osu, Mitsuo Kawato, 2016, NeuroImage.

Real-time Reconstruction of Single Trial Wrist Movement Trajectories from MEG derived cortical current

Mitsuo Kawato, Hiroshi Imamizu, Masaaki Sato, 2010, Neuroscience Research.

The possibility of using forward models for multi-limb coordination: Examination of models for grip–load force coupling in humans

Mitsuo Kawato, Hiroshi Imamizu, Yasuhiro Wada, 2004 .

Mechanical Impedance of Human Arm During Multi-Joint Movement in Horizontal Plane

Mitsuo Kawato, Hiroaki Gomi, M. Kawato, 1996 .

Optimal control of reaching includes kinematic constraints.

Mitsuo Kawato, Evangelos Theodorou, Stefan Schaal, 2013, Journal of neurophysiology.

Concurrent adaptation of force and impedance in the redundant muscle system

Keng Peng Tee, Mitsuo Kawato, Etienne Burdet, 2010, Biological Cybernetics.

A tennis serve and upswing learning robot based on bi-directional theory

Mitsuo Kawato, Hiroyuki Miyamoto, M. Kawato, 1998, Neural Networks.

Boosting perceptual learning by feedback manipulation

Mitsuo Kawato, Shin Ishii, Kazuhisa Shibata, 2010 .

Conflicting Visual and Proprioceptive Reflex Responses During Reaching Movements

Rieko Osu, Mitsuo Kawato, David W. Franklin, 2007, ICONIP.

Adaptive feedback control models of the vestibulocerebellum and spinocerebellum

Mitsuo Kawato, Hiroaki Gomi, M. Kawato, 2004, Biological Cybernetics.

Conceptual and Computational Models of Mirror Neurons

Mitsuo Kawato, Erhan Oztop, M. Kawato, 2005 .

Learning the dynamics of the external world: Brain inspired learning for robotic applications

Keng Peng Tee, Rieko Osu, Mitsuo Kawato, 2006 .

Extensive Human Training for Robot Skill Synthesis: Validation on a Robotic Hand

Gordon Cheng, Mitsuo Kawato, Erhan Öztop, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation

Kazuyuki Aihara, Mitsuo Kawato, Yuichi Katori, 2013, Neural Networks.

Heterarchical reinforcement-learning model for integration of multiple cortico-striatal loops: fMRI examination in stimulus-action-reward association learning

Mitsuo Kawato, Masahiko Haruno, M. Kawato, 2006, Neural Networks.

The role of chaotic resonance in cerebellar learning

Kazuyuki Aihara, Mitsuo Kawato, Nicolas Schweighofer, 2010, Neural Networks.

Virtual trajectory and stiffness ellipse during multijoint arm movement predicted by neural inverse models

Masazumi Katayama, Mitsuo Kawato, M. Kawato, 1993, Biological Cybernetics.

Neural Network Models for Formation and Control of Multi-joint Arm Trajectory(Mathematical Topics in Biology)

Mitsuo Kawato, M. Kawato, 1989 .

Movements Under Resistive and Assistive Force Fields Encoding of Movement Dynamics by Purkinje Cell Simple Spike Activity During Fast Arm

Thomas Sinkjær, Mitsuo Kawato, Ashvin Shah, 2008 .

How can we realize skillful and precise movement

Rieko Osu, Hiroyuki Miyamoto, Mitsuo Kawato, 2007 .

Hierarchical Bayesian estimation for MEG inverse problem

Masa-aki Sato, Mitsuo Kawato, Kenji Doya, 2004, NeuroImage.

TOPS (Task Optimization in the Presence of Signal-Dependent Noise) model

Mitsuo Kawato, Hiroyuki Miyamoto, Daniel M. Wolpert, 2004, Systems and Computers in Japan.

Nitric Oxide Regulates Input Specificity of Long-Term Depression and Context Dependence of Cerebellar Learning

Mitsuo Kawato, Kenji Doya, Hideaki Ogasawara, 2006, PLoS Comput. Biol..

Computational model for human 3D shape perception from a single specular image

Mitsuo Kawato, Hidehiko Komatsu, Masaaki Sato, 2018, bioRxiv.

A new algorithm for voltage clamp by iteration: A learning control of a nonlinear neuronal system

Mitsuo Kawato, Nakaakira Tsukahara, Manabu Etoh, 1985, Biological Cybernetics.

Acquisition of Multiple Internal Models under Multiple Viscous Force Fields

Mitsuo Kawato, Shinya Kotosaka, Yasuhiro Kawabata, 2002 .

Different mechanisms involved in adaptation to stable and unstable dynamics.

Rieko Osu, Mitsuo Kawato, David W Franklin, 2003, Journal of neurophysiology.

Imitation bootstrapping: experiments on a robotic hand

Gordon Cheng, Mitsuo Kawato, Thierry Chaminade, 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

Recognition of Manipulated Objects by Motor Learning

Mitsuo Kawato, Hiroaki Gomi, 1991, NIPS.

Celebrating the Year with a Special Issue for IJCNN'03

Stephen Grossberg, Mitsuo Kawato, John G. Taylor, 2003, Neural Networks.

Statistical characteristics of climbing fiber spikes necessary for efficient cerebellar learning

Mitsuo Kawato, Kenji Yamamoto, Kenji Doya, 2001, Biological Cybernetics.

The eMOSAIC model for humanoid robot control

Jun Morimoto, Mitsuo Kawato, Norikazu Sugimoto, 2012, Neural Networks.

Inter-module credit assignment in modular reinforcement learning

Mitsuo Kawato, Kenji Doya, Kazuyuki Samejima, 2003, Neural Networks.

Role of the olivo-cerebellar complex in motor learning and control

Mitsuo Kawato, Nicolas Schweighofer, Eric J. Lang, 2013, Front. Neural Circuits.

PII: S0893-6080(96)00043-3

Yasuharu Koike, Stefan Schaal, Rieko Osu, 1997 .

A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts

Masa-aki Sato, Mitsuo Kawato, Kenji Doya, 2009, NeuroImage.

Reorganization of brain activity for multiple internal models

Mitsuo Kawato, Hiroshi Imamizu, Yasuhiro Wada, 2004 .

A parallel‐hierarchical neural network model for motor control of a musculo‐skeletal system

Masazumi Katayama, Mitsuo Kawato, M. Kawato, 1991 .

Report Neural Correlates of Internal-Model Loading

Mitsuo Kawato, J. Randall Flanagan, Hiroshi Imamizu, 2006 .

A theory for cursive handwriting based on the minimization principle

Mitsuo Kawato, Yasuhiro Wada, M. Kawato, 1995, Biological Cybernetics.

A computational model of spatio-temporal dynamics in depth filling-in

Mitsuo Kawato, Shigeaki Nishina, M. Kawato, 2004, Neural Networks.

Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics

Masa-aki Sato, Mitsuo Kawato, Keisuke Toyama, 2015, Front. Comput. Neurosci..

Reinforcement learning with via-point representation

Jun Morimoto, Mitsuo Kawato, Kenji Doya, 2004, Neural Networks.

Energy Cost in Arm Movements The Central Nervous System Does Not Minimize

Stefan Schaal, Mitsuo Kawato, Luciano Fadiga, 2015 .

Reconstruction of Temporal Movement from Single-trial Non-invasive Brain Activity: A Hierarchical Bayesian Method

Masa-aki Sato, Mitsuo Kawato, Hiroshi Imamizu, 2007, ICONIP.

The spatio-temporal window of task-irrelevant perceptual learning

Mitsuo Kawato, Aaron R. Seitz, Takeo Watanabe, 2010 .

Differential activation of brain regions involved with error-feedback and imitation based motor simulation when observing self and an expert's actions in pilots and non-pilots on a complex glider landing task

Masa-aki Sato, Mitsuo Kawato, Akiko E. Callan, 2013, NeuroImage.

Brain controlled robots

Mitsuo Kawato, 2008, HFSP journal.

Humanoid Robots as Research Tools of Computational Neuroscience

Mitsuo Kawato, 2002, FSKD.

Neural network control for a closed-loop System using Feedback-error-learning

Mitsuo Kawato, Hiroaki Gomi, M. Kawato, 1993, Neural Networks.

Using Humanoid Robots to Study Human Behavior

Joshua G. Hale, Frank E. Pollick, Ales Ude, 2000, IEEE Intell. Syst..

Computation in the Cerebellum

Mitsuo Kawato, Henrik Jörntell, Dieter Jaeger, 2013, Neural Networks.

From Biologically Realistic Imitation to Robot Teaching Via Human Motor Learning

Gordon Cheng, Joshua G. Hale, Mitsuo Kawato, 2007, ICONIP.

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

Mitsuo Kawato, Hiroaki Gomi, M. Kawato, 2004, Biological Cybernetics.

Recognition of manipulated objects by motor learning with modular architecture networks

Mitsuo Kawato, Hiroaki Gomi, M. Kawato, 1991, Neural Networks.

directions of movement Impedance control is selectively tuned to multiple

Mitsuo Kawato, David W. Franklin, Gary Liaw, 2011 .

Biomimetic motor behavior for simultaneous adaptation of force, impedance and trajectory in interaction tasks

Alin Albu-Schäffer, Mitsuo Kawato, Etienne Burdet, 2010, 2010 IEEE International Conference on Robotics and Automation.

Feedback-Error-Learning Neural Network for Supervised Motor Learning

Mitsuo Kawato, M. Kawato, 1990 .

Transformation Learning of Neural Representation from Population Codes to Firing Rate Codes in Smooth Pursuit Eye Movements

Mitsuo Kawato, Tomohiro Shibata, Hiromitsu Tabata, 2002 .

Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants

Mitsuo Kawato, Kaoru Amano, Hakwan C. Lau, 2017, NeuroImage.

Composition and decomposition learning of reaching movements under altered environments: An examination of the multiplicity of internal models

Rieko Osu, Mitsuo Kawato, Hiroshi Imamizu, 2002, Systems and Computers in Japan.

Brain Machine Interface and Neuroimaging

Mitsuo Kawato, M. Kawato, 2014, Encyclopedia of Computational Neuroscience.

Predicting learning plateau of working memory from whole-brain intrinsic network connectivity patterns

Mitsuo Kawato, Hiroshi Imamizu, Masahiro Yamashita, 2015, Scientific Reports.

Decoding Syllables from Human fMRI Activity

Rieko Osu, Mitsuo Kawato, Satoshi Murata, 2007, ICONIP.

Brain controlled robots

Mitsuo Kawato, M. Kawato, 2008, ICRA.

Human motor adaptation in whole body motion

Mitsuo Kawato, Jan Babič, Erhan Oztop, 2016, Scientific Reports.

Cortical current source estimation from electroencephalography in combination with near-infrared spectroscopy as a hierarchical prior

Masa-aki Sato, Rieko Osu, Mitsuo Kawato, 2012, NeuroImage.

Neural Network Model Integrating Visual and Somatic Information

Masazumi Katayama, Mitsuo Kawato, M. Kawato, 1990 .

Quantitative Modeling of Spatio-Temporal Dynamics of inferior Olive Neurons with a Simple Conductance-Based Model

Kazuyuki Aihara, Mitsuo Kawato, Yuichi Katori, 2010, Int. J. Bifurc. Chaos.

Endpoint Stiffness of the Arm Is Directionally Tuned to Instability in the Environment

Rieko Osu, Mitsuo Kawato, David W Franklin, 2007, The Journal of Neuroscience.

Classification and characterisation of brain network changes in chronic back pain: a multicenter study

Kenji Leibnitz, Mitsuo Kawato, Takashi Matsubara, 2017 .

An analysis of MEG artifacts caused by heartbeat

Masa-aki Sato, Ken-ichi Morishige, Mitsuo Kawato, 2009, Neuroscience Research.

Trajectory formation based on the minimum commanded torque change model using the Euler-Poisson equation

Rieko Osu, Mitsuo Kawato, Yuichi Kaneko, 2005, Systems and Computers in Japan.

A method for estimating torque-vector directions of shoulder muscles using surface EMGs

Yasuharu Koike, Mitsuo Kawato, Kazuhisa Domen, 2002, Biological Cybernetics.

Brain-Machine Interface Using Brain Surface Electrodes: Real-Time Robotic Control and a Fully Implantable Wireless System

Mitsuo Kawato, Hiroshi Yokoi, Kojiro Matsushita, 2013 .

A framework for learning biped locomotion with dynamical movement primitives

Jun Morimoto, Gen Endo, Jun Nakanishi, 2004, 4th IEEE/RAS International Conference on Humanoid Robots, 2004..

From compliant balancing to dynamic walking on humanoid robot: Integration of CNS and CPG

Jun Morimoto, Mitsuo Kawato, Sang-Ho Hyon, 2010, 2010 IEEE International Conference on Robotics and Automation.

Effect of spatial distance to the task stimulus on task-irrelevant perceptual learning of static Gabors.

Mitsuo Kawato, Aaron R. Seitz, Takeo Watanabe, 2007, Journal of vision.

An Involuntary Muscular Response Induced by Perceived Visual Errors in Hand Position

Rieko Osu, Mitsuo Kawato, David W. Franklin, 2007, ICONIP.

Humanoid Robot for Brain Research

Mitsuo Kawato, Shinya Katosaka, M. Kawato, 2000 .

Stability and motor adaptation in human arm movements

Iven M. Y. Mareels, Keng Peng Tee, Rieko Osu, 2005, Biological Cybernetics.

Model Based Image Compression and Adaptive Data Representaion by Interacting Filter Banks

Mitsuo Kawato, Toshio Inui, Sei Miyake, 1989, NIPS.

eMOSAIC Model for Humanoid Robot Control

Jun Morimoto, Mitsuo Kawato, Norikazu Sugimoto, 2010, SAB.

MOSAIC for Multiple-Reward Environments

Mitsuo Kawato, Norikazu Sugimoto, Kenji Doya, 2012, Neural Computation.

Overview and Robotics Research of the Project

Mitsuo Kawato, Tomohiro Shibata, 2001 .

Single trial learning of external dynamics: What can the brain teach us about learning mechanisms?

Mitsuo Kawato, David W. Franklin, Theodore E. Milner, 2007 .

Estimation of dynamic joint torques and trajectory formation from surface electromyography signals using a neural network model

Yasuharu Koike, Mitsuo Kawato, M. Kawato, 1995, Biological Cybernetics.

A Fully-Implantable Wireless System for Human Brain-Machine Interfaces Using Brain Surface Electrodes: W-HERBS

Mitsuo Kawato, Takeshi Yoshida, Kojiro Matsushita, 2011, IEICE Trans. Commun..

Transformation from population codes to firing rate codes by learning: Neural representation of smooth pursuit eye movements

Mitsuo Kawato, Tomohiro Shibata, Hiromitsu Tabata, 2004, Systems and Computers in Japan.

Practice reduces task relevant variance modulation and forms nominal trajectory

Jun Nakanishi, Ken-ichi Morishige, Hiroyuki Miyamoto, 2015, Scientific Reports.

Hyperacuity Bayesian methods to enhance temporal resolution of two-photon recording of the complex spikes in the cerebellar Purkinje cells

Masa-aki Sato, Mitsuo Kawato, Keisuke Toyama, 2017, bioRxiv.

Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods

Masa-aki Sato, Mitsuo Kawato, Hiroshi Imamizu, 2011, NeuroImage.

Impedance control is selectively tuned to multiple directions of movement

Mitsuo Kawato, Etienne Burdet, David W. Franklin, 2011, Journal of neurophysiology.

Simulation of Optimal Movements Using the Minimum-Muscle-Tension-Change Model

Mitsuo Kawato, Ryoji Suzuki, Yoji Uno, 1991, NIPS.

Central control of grasp: Manipulation of objects with complex and simple dynamics

Mitsuo Kawato, David W. Franklin, Hiroshi Imamizu, 2007, NeuroImage.

constraintscontrol of reaching includes kinematic

Mitsuo Kawato, Luciano Fadiga, Charalambos Papaxanthis, 2015 .

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

Mitsuo Kawato, Hiroaki Gomi, M. Kawato, 1997, Biological Cybernetics.

Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals

Masa-aki Sato, Mitsuo Kawato, Shigeaki Nishina, 2008, NeuroImage.

Human hand stiffness during discrete point-to-point multi-joint movement

Yasuharu Koike, Mitsuo Kawato, Hiroaki Gomi, 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Perceived Surface Curvature from Drawing Movements (2)

Frank E. Pollick, Mitsuo Kawato, Jan J. Koenderink, 1996 .

Estimation of hyper-parameters for a hierarchical model of combined cortical and extra-brain current sources in the MEG inverse problem

Masa-aki Sato, Ken-ichi Morishige, Mitsuo Kawato, 2014, NeuroImage.

Computational Model for Human 3D Shape Perception From a Single Specular Image

Masa-aki Sato, Mitsuo Kawato, Hidehiko Komatsu, 2018, bioRxiv.

Creating the brain and interacting with the brain: an integrated approach to understanding the brain

Jun Morimoto, Mitsuo Kawato, J. Morimoto, 2015, Journal of The Royal Society Interface.

A new information criterion combined with cross-validation method to estimate generalization capability

Mitsuo Kawato, Yasuhiro Wada, 1992, Systems and Computers in Japan.

Editorial for 2007: Another year of exciting special issues!

Stephen Grossberg, Mitsuo Kawato, John G. Taylor, 2007, Neural Networks.

Attentional modulation of oscillatory activity in human visual cortex

Stephen J. Anderson, Mitsuo Kawato, Naokazu Goda, 2003, NeuroImage.

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

Mitsuo Kawato, Hiroyuki Miyamoto, Ryoji Suzuki, 1988, Neural Networks.

A forward-inverse optics model of reciprocal connections between visual cortical areas

Mitsuo Kawato, Toshio Inui, Hideki Hayakawa, 1993 .

CB: Exploring neuroscience with a humanoid research platform

Jun Morimoto, Jun Nakanishi, Gordon Cheng, 2008, 2008 IEEE International Conference on Robotics and Automation.

From internal models toward metacognitive AI

Mitsuo Kawato, Aurelio Cortese, M. Kawato, 2021, Biological Cybernetics.

Hierarchical motor adaptations negotiate failures during force field learning

Rieko Osu, Mitsuo Kawato, Tricia L. Gibo, 2021, PLoS Comput. Biol..

50 Years Since the Marr, Ito, and Albus Models of the Cerebellum

Mitsuo Kawato, Shogo Ohmae, Huu Hoang, 2020, Neuroscience.

Common cortical areas have different neural mechanisms for covert and overt visual pursuits

Mitsuo Kawato, Nobuo Hiroe, Masa-Aki Sato, 2021, Scientific reports.

Author response: Value signals guide abstraction during learning

Mitsuo Kawato, Benedetto De Martino, Aurelio Cortese, 2021 .

Task-specific disruption of perceptual learning.

Mitsuo Kawato, Aaron R. Seitz, Naokazu Goda, 2005 .

Current Status of Neurofeedback for Post-traumatic Stress Disorder: A Systematic Review and the Possibility of Decoded Neurofeedback

Mitsuo Kawato, Hakwan Lau, Ai Koizumi, 2019, Front. Hum. Neurosci..

Acquisition of internal representation by multilayered perceptrons

Mitsuo Kawato, Bunpei Irie, Bunpei Irie, 1991 .

The effects of feature attention on prestimulus cortical activity in the human visual system.

Masa-aki Sato, Mitsuo Kawato, Naokazu Goda, 2008, Cerebral cortex.

Internal Model in the Cerebellum : Theoretical Engine of Human Intelligence : Creation, Communication, Language, Thinking and Consciousness

Mitsuo Kawato, M. Kawato, 1998 .

Perceptual learning – The past, present and future

Mitsuo Kawato, Dov Sagi, Yuka Sasaki, 2014, Vision Research.

Spatio-temporal dynamics of depth propagation on uniform region

Mitsuo Kawato, Shigeaki Nishina, Masato Okada, 2003, Vision Research.

Quantifying the quality of hand movement in stroke patients through three-dimensional curvature

Rieko Osu, Mitsuo Kawato, Meigen Liu, 2011, Journal of NeuroEngineering and Rehabilitation.

A Model of Smooth Pursuit based on Learning of the Target Dynamics Using Only Retinal Signals

Stefan Schaal, Mitsuo Kawato, Tomohiro Shibata, 2001 .

Decoding acute pain with combined EEG and physiological data

Mitsuo Kawato, Ben Seymour, Jenessa Lancaster, 2017 .

Systems Biology Perspectives on Cerebellar Long-Term Depression

Mitsuo Kawato, Hideaki Ogasawara, Tomokazu Doi, 2008, Neurosignals.

Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers

Mitsuo Kawato, Yasumasa Okamoto, Takashi Yamada, 2017, The international journal of neuropsychopharmacology.

Towards an unconscious neural reinforcement intervention for common fears

Mitsuo Kawato, Hakwan Lau, Aurelio Cortese, 2018, Proceedings of the National Academy of Sciences.

Erratum: Rhythmic arm movement is not discrete

Stefan Schaal, Rieko Osu, Mitsuo Kawato, 2004, Nature Neuroscience.

Activation of the Human Superior Temporal Gyrus during Observation of Goal Attribution by Intentional Objects

Mitsuo Kawato, Hiroshi Imamizu, Johannes Schultz, 2004, Journal of Cognitive Neuroscience.

Cerebellar Internal Models: Implications for the Dexterous Use of Tools

Mitsuo Kawato, Hiroshi Imamizu, M. Kawato, 2012, The Cerebellum.

Decoding of the spike timing of primary afferents during voluntary arm movements in monkeys

Masa-aki Sato, Tadashi Isa, Mitsuo Kawato, 2014, Front. Neurosci..

Speech and song: The role of the cerebellum

Mitsuo Kawato, Robert Turner, Daniel E. Callan, 2008, The Cerebellum.

Boosting perceptual learning by fake feedback

Mitsuo Kawato, Kazuhisa Shibata, M. Kawato, 2009, Vision Research.

Dynamic Visuomotor Transformation Involved with Remote Flying of a Plane Utilizes the ‘Mirror Neuron’ System

Masa-aki Sato, Mitsuo Kawato, Akiko E. Callan, 2012, PloS one.

Opportunities and challenges for a maturing science of consciousness

Mitsuo Kawato, Dominique Lamy, Robert T. Knight, 2019, Nature Human Behaviour.

Kawato Dynamic Brain Project

Mitsuo Kawato, M. Kawato, 2000 .

A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity

Jun Morimoto, Mitsuo Kawato, Jin Narumoto, 2017, Scientific Reports.

Conducting decoded neurofeedback studies

Mitsuo Kawato, Hakwan Lau, Aurelio Cortese, 2019, Social cognitive and affective neuroscience.

Robot control by neural network model for voluntary movement

Mitsuo Kawato, Ryoji Suzuki, Yoji Uno, 1988 .

Motor Learning in the Brain

Mitsuo Kawato, M. Kawato, 1995 .

Differential neural correlates of reciprocal activation and cocontraction control in dorsal and ventral premotor cortices.

Mitsuo Kawato, Etienne Burdet, Masahiko Haruno, 2012, Journal of neurophysiology.

The Roles of the Olivocerebellar Pathway in Motor Learning and Motor Control. A Consensus Paper

Mitsuo Kawato, Nicolas Schweighofer, Henrik Jörntell, 2017, The Cerebellum.

Computational neuroscience approach to biomarkers and treatments for mental disorders

Mitsuo Kawato, Kiyoto Kasai, Noriaki Yahata, 2017, Psychiatry and clinical neurosciences.

The Neural Substrates of Biological Motion Perception: an fMRI Study

Rieko Osu, Mitsuo Kawato, Philip Servos, 2022 .

Cerebellar Activity Evoked By Common Tool-Use Execution And Imagery Tasks: An Fmri Study

Mitsuo Kawato, Hiroshi Imamizu, M. Kawato, 2007, Cortex.

Computational study on monkey VOR adaptation and smooth pursuit based on the parallel control-pathway theory.

Mitsuo Kawato, Kenji Yamamoto, Hiromitsu Tabata, 2002, Journal of neurophysiology.

Synergism and antagonism of neurons caused by an electrical synapse

Mitsuo Kawato, Ryoji Suzuki, Masahiro Sokabe, 1979, Neuroscience Letters.

Central representation of dynamics when manipulating handheld objects.

Mitsuo Kawato, David W Franklin, Hiroshi Imamizu, 2006, Journal of neurophysiology.

Erratum: Random presentation enables subjects to adapt to two opposing forces on the hand

Rieko Osu, Mitsuo Kawato, Satomi Hirai, 2004, Nature Neuroscience.

Quantitative analysis of electrical properties of dendritic spines

Mitsuo Kawato, Nakaakira Tsukahara, Fujio Murakami, 2004, Biological Cybernetics.

Iterative Learning Control for Optimal Trajectory in Robotic Manipulator

Mitsuo Kawato, Mitsuo Kawato, Ryoji Suzuki, 1988 .

Trajectory formation based on the minimum commanded torque change model using the Euler–Poisson equation

Rieko Osu, Mitsuo Kawato, Yasuhiro Wada, 2005 .

Elsevier Editorial System(tm) for Brain Research Manuscript Draft Response Letter Reviewer Number 1 Attentional Changes in Pre-stimulus Oscillatory Activity within Early Visual Cortex Are Predictive of Human Visual Performance

Stephen J. Anderson, Mitsuo Kawato, Daniel E. Callan, 2007 .

Classification and characterisation of brain network changes in chronic back pain: A multicenter study

Kenji Leibnitz, Mitsuo Kawato, Nicholas Shenker, 2017, bioRxiv.

Studies on human finger tapping neural networks by phase transition curves

Mitsuo Kawato, Ryoji Suzuki, M. Kawato, 1979, Biological Cybernetics.