M. Kawato

发表

D. Wolpert, R. Miall, M. Kawato, 1998, Trends in Cognitive Sciences.

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

M. Kawato, Kazunori Furukawa, R. Suzuki, 2004, Biological Cybernetics.

A unifying computational framework for motor control and social interaction.

K. Doya, D. Wolpert, M. Kawato, 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

MOSAIC Model for Sensorimotor Learning and Control

Mitsuo Kawato, Daniel M. Wolpert, Masahiko Haruno, 2001, Neural Computation.

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

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

Optimization and learning in neural networks for formation and control of coordinated movement

M. Kawato, 1993 .

The cerebellum and VOR/OKR learning models

M. Kawato, H. Gomi, 1992, Trends in Neurosciences.

Computational studies on acquisition and adaptation of ocular following responses based on cerebellar synaptic plasticity.

M. Kawato, Kenji Yamamoto, Yasushi Kobayashi, 2002, Journal of neurophysiology.

Internal representations of the motor apparatus: implications from generalization in visuomotor learning.

M. Kawato, H. Imamizu, Y. Uno, 1995, Journal of experimental psychology. Human perception and performance.

Formation and control of optimal trajectory in human multijoint arm movement

M. Kawato, R. Suzuki, Y. Uno, 1989, Biological Cybernetics.

Coordinates transformation and learning control for visually-guided voluntary movement with iteration: A Newton-like method in a function space

M. Kawato, R. Suzuki, M. Isobe, 1988, Biological Cybernetics.

Inverse-dynamics model eye movement control by Purkinje cells in the cerebellum

M. Kawato, H. Gomi, K. Kawano, 1993, Nature.

Computational schemes and neural network models for formulation and control of multijoint arm trajectory

Mitsuo Kawato, M. Kawato, 1990 .

Two coupled neural oscillators as a model of the circadian pacemaker.

M. Kawato, R. Suzuki, 1980, Journal of theoretical biology.

Temporal firing patterns of Purkinje cells in the cerebellar ventral paraflocculus during ocular following responses in monkeys II. Complex spikes.

M. Kawato, H. Gomi, A. Takemura, 1998, Journal of neurophysiology.

Temporal firing patterns of Purkinje cells in the cerebellar ventral paraflocculus during ocular following responses in monkeys I. Simple spikes.

M. Kawato, H. Gomi, A. Takemura, 1998, Journal of neurophysiology.

Learning from demonstration and adaptation of biped locomotion

Jun Morimoto, Gen Endo, Jun Nakanishi, 2004, Robotics Auton. Syst..

Transient and steady state phase response curves of limit cycle oscillators

M. Kawato, 1982 .

Using Humanoid Robots to Study Human Behavior

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

Feedback-Error-Learning Neural Network for Supervised Motor Learning

Mitsuo Kawato, M. Kawato, 1990 .

Dynamic and Plastic Properties of the Brain Stem Neuronal Networks as the Possible Neuronal Basis of Learning and Memory

M. Kawato, N. Tsukahara, 1982 .

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 .

Association Learning Caudate Nucleus During Stimulus-Action-Reward and Reward Expectation Error in the Putamen and Different Neural Correlates of Reward Expectation

M. Kawato, M. Haruno, 2006 .

Neural mechanisms of learning and control

Kenji Doya, Hidenori Kimura, Mitsuo Kawato, 2001 .

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

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

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

M. Kawato, M. Katayama, 2005, Biological Cybernetics.

Rhythmic arm movement is not discrete

S. Schaal, M. Kawato, D. Sternad, 2004, Nature Neuroscience.

A model of smooth pursuit in primates based on learning the target dynamics

Stefan Schaal, Mitsuo Kawato, Tomohiro Shibata, 2005, Neural Networks.

A mathematical analysis of the characteristics of the system connecting the cerebellar ventral paraflocculus and extraoculomotor nucleus of alert monkeys during upward ocular following responses

M. Kawato, Kenji Yamamoto, Yasushi Kobayashi, 2000, Neuroscience Research.

Change in neuronal firing patterns in the process of motor command generation for the ocular following response.

M. Kawato, H. Gomi, A. Takemura, 2001, Journal of neurophysiology.

Exploration of Signal Transduction Pathways in Cerebellar Long-Term Depression by Kinetic Simulation

M. Kawato, S. Kuroda, N. Schweighofer, 2001, The Journal of Neuroscience.

Cerebellar Plasticity and the Ocular Following Response

M. Kawato, Kenji Yamamoto, Yasushi Kobayashi, 2002, Annals of the New York Academy of Sciences.

Role of the cerebellum in reaching movements in humans. II. A neural model of the intermediate cerebellum

M. Arbib, M. Kawato, N. Schweighofer, 1998, The European journal of neuroscience.

Role of the cerebellum in reaching movements in humans. I. Distributed inverse dynamics control

M. Arbib, M. Kawato, N. Schweighofer, 1998, The European journal of neuroscience.

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

M. Kawato, K. Samejima, Keiji Tanaka, 2022 .

Multiple Model-Based Reinforcement Learning

Mitsuo Kawato, Kenji Doya, Kazuyuki Samejima, 2002, Neural Computation.

Acquisition and contextual switching of multiple internal models for different viscous force fields

M. Kawato, Kenji Yamamoto, S. Kotosaka, 2003, Neuroscience Research.

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

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

Neural Correlates of Internal-Model Loading

J. Flanagan, M. Kawato, H. Imamizu, 2006, Current Biology.

Internal forward models in the cerebellum: fMRI study on grip force and load force coupling.

M. Kawato, H. Imamizu, T. Kuroda, 2003, Progress in brain research.

Feedback error learning of movement by multi-layer neural network

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

A Computational Model of Limb Impedance Control Based on Principles of Internal Model Uncertainty

S. Vijayakumar, M. Kawato, Stefan Klanke, 2010, PloS one.

Sensorimotor Control of Grasping: Models for the control of grasping

M. Kawato, E. Oztop, 2009 .

Mental state inference using visual control parameters.

D. Wolpert, M. Kawato, E. Oztop, 2005, Brain research. Cognitive brain research.

Teaching by Showing in Kendama Based on Optimization Principle

Mitsuo Kawato, Hiroaki Gomi, Yasuhiro Wada, 1994 .

Hierarchical neural network model for voluntary movement with application to robotics

M. Kawato, R. Suzuki, Y. Uno, 1988, IEEE Control Systems Magazine.

Synaptic currents at interpositorubral and corticorubral excitatory synapses measured by a new iterative single-electrode voltage-clamp method

M. Kawato, N. Tsukahara, Y. Oda, 1986, Neuroscience Research.

Multiple paired forward and inverse models for motor control

D M Wolpert, M Kawato, D. Wolpert, 1998, Neural Networks.

Internal models for motor control and trajectory planning

Mitsuo Kawato, M. Kawato, 1999, Current Opinion in Neurobiology.

Electrophysiological properties of inferior olive neurons: A compartmental model.

K. Doya, M. Kawato, N. Schweighofer, 1999, Journal of neurophysiology.

Bidirectional theory approach to consciousness.

M. Kawato, 1997 .

Cerebro-cerebellar functional connectivity revealed by the laterality index in tool-use learning.

M. Kawato, H. Imamizu, S. Miyauchi, 1999, Neuroreport.

Learning to Associate Orientation with Color in Early Visual Areas by Associative Decoded fMRI Neurofeedback

Takeo Watanabe, M. Kawato, K. Amano, 2016, Current Biology.

Functional significance of stiffness in adaptation of multijoint arm movements to stable and unstable dynamics

M. Kawato, T. Milner, D. W. Franklin, 2003, Experimental Brain Research.

A method for measuring endpoint stiffness during multi-joint arm movements.

E Burdet, R Osu, D W Franklin, 2000, Journal of biomechanics.

Measuring Stiffness During Arm Movements in Various Dynamic Environments

Rieko Osu, Mitsuo Kawato, Etienne Burdet, 1999, Dynamic Systems and Control.

The neural computation of the aperture problem: an iterative process

M. Kawato, M. Okada, S. Nishina, 2003, Neuroreport.

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

M. Kawato, T. Milner, D. W. Franklin, 2003 .

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

B. Seymour, M. Kawato, W. Yoshida, 2018, Wellcome open research.

Attentional shifts towards an expected visual target alter the level of alpha-band oscillatory activity in the human calcarine cortex.

M. Kawato, S. Anderson, D. Callan, 2005, Brain research. Cognitive brain research.

The role of chaotic resonance in cerebellar learning

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

Chaos may enhance information transmission in the inferior olive.

K. Doya, M. Kawato, N. Schweighofer, 2004, Proceedings of the National Academy of Sciences of the United States of America.

A small number of abnormal brain connections predicts adult autism spectrum disorder

Takeo Watanabe, J. Morimoto, M. Kawato, 2016, Nature Communications.

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

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

Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation

Takeo Watanabe, M. Kawato, Kazuhisa Shibata, 2011, Science.

Task-specific disruption of perceptual learning.

Aaron R. Seitz, Takeo Watanabe, M. Kawato, 2005, Proceedings of the National Academy of Sciences of the United States of America.

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..

Explicit contextual information selectively contributes to predictive switching of internal models

M. Kawato, H. Imamizu, R. Osu, 2007, Experimental Brain Research.

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

M. Kawato, R. Osu, T. Yoshioka, 2004, Nature Neuroscience.

Anthropomorphism influences perception of computer-animated characters' actions.

J. Hodgins, M. Kawato, T. Chaminade, 2007, Social cognitive and affective neuroscience.

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.

Anterior and superior lateral occipito-temporal cortex responsible for target motion prediction during overt and covert visual pursuit

K. Doya, M. Kawato, T. Shibata, 2006, Neuroscience Research.

A neural network model for arm trajectory formation using forward and inverse dynamics models

Mitsuo Kawato, Yasuhiro Wada, M. Kawato, 1993, Neural Networks.

Multiple Paired Forward-Inverse Models for Human Motor Learning and Control

Mitsuo Kawato, Daniel M. Wolpert, Masahiko Haruno, 1998, NIPS.

Failure to Consolidate the Consolidation Theory of Learning for Sensorimotor Adaptation Tasks

D. Wolpert, J. Flanagan, M. Kawato, 2004, The Journal of Neuroscience.

Modular organization of internal models of tools in the human cerebellum

M. Kawato, H. Imamizu, T. Kuroda, 2003, Proceedings of the National Academy of Sciences of the United States of America.

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

M. Kawato, Y. Koike, K. Domen, 2002, Biological Cybernetics.

Adaptation and Learning in Control of Voluntary Movement

M. Kawato, 1986 .

Behavioral/systems/cognitive Functional Magnetic Resonance Imaging Examination of Two Modular Architectures for Switching Multiple Internal Models

M. Kawato, H. Imamizu, T. Kuroda, 2022 .

A Neural Correlate of Reward-Based Behavioral Learning in Caudate Nucleus: A Functional Magnetic Resonance Imaging Study of a Stochastic Decision Task

K. Doya, M. Kawato, M. Haruno, 2004, The Journal of Neuroscience.

Reorganization of Brain Activity for Multiple Internal Models After Short But Intensive Training

M. Kawato, H. Imamizu, S. Higuchi, 2007, Cortex.

The central nervous system stabilizes unstable dynamics by learning optimal impedance

Rieko Osu, Mitsuo Kawato, Etienne Burdet, 2001, Nature.

A computational model for shape estimation by integration of shading and edge information

Mitsuo Kawato, Shin'ya Nishida, Yasuhiro Wada, 1994, Neural Networks.

Optimal control of reaching includes kinematic constraints.

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

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

Hiroshi Imamizu, Satoru Miyauchi, Mitsuo Kawato, 2000, Nature.

Hierarchical Bayesian estimation for MEG inverse problem

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

A theory for cursive handwriting based on the minimization principle

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

Inter-module credit assignment in modular reinforcement learning

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

Biological oscillators can be stopped—Topological study of a phase response curve

M. Kawato, R. Suzuki, 1978, Biological Cybernetics.

Impedance control balances stability with metabolically costly muscle activation.

M. Kawato, T. Milner, D. W. Franklin, 2004, Journal of neurophysiology.

Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation

Takeo Watanabe, M. Kawato, Kazuhisa Shibata, 2012 .

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

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

Adaptive internal model of intrinsic kinematics involved in learning an aiming task.

M. Kawato, H. Imamizu, Y. Uno, 1998, Journal of experimental psychology. Human perception and performance.

A Model of the Electrophysiological Properties of the Inferior Olive Neurons

Mitsuo Kawato, Kenji Doya, Nicolas Schweighofer, 1998, ICONIP.

Adaptation and learning in control of voluntary movement by the central nervous system

Mitsuo Kawato, M. Kawato, 1988, Adv. Robotics.

Models for the control of grasping erhan oztop and mitsuo kawato

M. Kawato, E. Oztop, 2009 .

Learning control for a closed loop system using feedback-error-learning

Mitsuo Kawato, Hiroaki Gomi, M. Kawato, 1990, 29th IEEE Conference on Decision and Control.

Quantitative examinations of internal representations for arm trajectory planning: minimum commanded torque change model.

Y Uno, E Nakano, H Imamizu, 1999, Journal of neurophysiology.

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

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

CNS Learns Stable, Accurate, and Efficient Movements Using a Simple Algorithm

Rieko Osu, Mitsuo Kawato, Chee-Meng Chew, 2008, The Journal of Neuroscience.

Encoding of movement dynamics by Purkinje cell simple spike activity during fast arm movements under resistive and assistive force fields.

M. Kawato, Kenji Yamamoto, S. Kotosaka, 2007, Journal of neurophysiology.

Inositol 1,4,5-Trisphosphate-Dependent Ca2+ Threshold Dynamics Detect Spike Timing in Cerebellar Purkinje Cells

M. Kawato, Tomokazu Doi, Shinya Kuroda, 2005, The Journal of Neuroscience.

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.

Bi-directional theory approach to integration

Mitsuo Kawato, M. Kawato, 1996 .

Robotics as a Tool for Neuroscience: Cerebellar Internal Models for Robotics and Cognition

M. Kawato, 2000 .

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

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

A model of the coupling between grip aperture and hand transport during human prehension

M. Goodale, M. Kawato, R. Osu, 2005, Experimental Brain Research.

Estimation of multijoint limb stiffness from EMG during reaching movements

M. Kawato, T. Milner, D. W. Franklin, 2003, IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, 2003..

MEG Source Imaging and Group Analysis Using VBMEG

M. Kawato, O. Yamashita, Yusuke Takeda, 2019, Front. Neurosci..

Optimal impedance control for task achievement in the presence of signal-dependent noise.

M. Kawato, R. Osu, Y. Wada, 2004, Journal of neurophysiology.

Possible explanations for trajectory curvature in multijoint arm movements.

R Osu, M Kawato, Y Uno, 1997, Journal of experimental psychology. Human perception and performance.

TRAJECTORY FORMATION IN ARM MOVEMENTS: MINIMIZATION PRINCIPLES AND PROCEDURES

Mitsuo Kawato, M. Kawato, 1996 .

Shared neural correlates for language and tool use in Broca's area

M. Kawato, H. Imamizu, T. Chaminade, 2009, Neuroreport.

Cerebellar supervised learning revisited: biophysical modeling and degrees-of-freedom control

Mitsuo Kawato, Nicolas Schweighofer, Shinya Kuroda, 2011, Current Opinion in Neurobiology.

Behavioral / Systems / Cognitive Inositol 1 , 4 , 5-Trisphosphate-Dependent Ca 2 Threshold Dynamics Detect Spike Timing in Cerebellar Purkinje Cells

M. Kawato, Tomokazu Doi, Shinya Kuroda, 2005 .

Reproduction of complex spike firing patterns with modulated effective coupling conductance in inferior olive neurons

M. Kawato, K. Aihara, K. Toyama, 2010, Neuroscience Research.

Bistable Switches for Synaptic Plasticity

M. Kawato, Hideaki Ogasawara, 2009, Science Signaling.

Computational Models of Cerebellar Long-Term Memory

M. Kawato, Hideaki Ogasawara, 2009 .

Ca2+ Requirements for Cerebellar Long-Term Synaptic Depression: Role for a Postsynaptic Leaky Integrator

M. Kawato, G. Ellis‐Davies, G. Augustine, 2007, Neuron.

The protein kinase Mζ network as a bistable switch to store neuronal memory

M. Kawato, Hideaki Ogasawara, 2010, Neuroscience Research.

Variational Bayesian least squares: An application to brain-machine interface data

Stefan Schaal, Jo-Anne Ting, Kenji Yamamoto, 2008, Neural Networks.

Physiologically-Based Speech Synthesis Using Neural Networks (Special Section on Speech Synthesis: Current Technologies and Equipment)

M. Kawato, M. Hirayama, E. Bateson, 1993 .

A computational theory for movement pattern recognition based on optimal movement pattern generation

Yasuharu Koike, Eric Vatikiotis-Bateson, Mitsuo Kawato, 1995, Biological Cybernetics.

Two is better than one: Physical interactions improve motor performance in humans

M. Kawato, E. Burdet, R. Osu, 2014, Scientific Reports.

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

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

Minimum muscle tension-change model for human arm movement

M. Kawato, R. Suzuki, Y. Uno, 1990 .

Perception of local orientation from shaded images

M. Kawato, F. Pollick, Hiroshi Watanabe, 1996, Perception & psychophysics.

Perceived motion in structure from motion: pointing responses to the axis of rotation.

M. Kawato, S. Nishida, F. Pollick, 1993, Perception & psychophysics.

A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity

Saori C. Tanaka, B. Seymour, M. Kawato, 2017, bioRxiv.

The neural and cognitive architecture for learning from a small sample

Mitsuo Kawato, Aurelio Cortese, Benedetto De Martino, 2018, Current Opinion in Neurobiology.

Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance

M. Kawato, H. Lau, K. Amano, 2016, Nature Communications.

New insights into olivo-cerebellar circuits for learning from a small training sample

M. Kawato, I. Tokuda, Huu Hoang, 2017, Current Opinion in Neurobiology.

Composition and Decomposition of Internal Models in Motor Learning under Altered Kinematic and Dynamic Environments

J R Flanagan, E Nakano, H Imamizu, 1999, The Journal of Neuroscience.

Multiple Representations for Visuomotor Learning in the Cerebellum: A Functional MRI Study

M. Kawato, H. Imamizu, S. Miyauchi, 1998, NeuroImage.

Practice reduces task relevant variance modulation and forms nominal trajectory

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

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

D. Wolpert, M. Kawato, H. Miyamoto, 2004 .

Visual Feedback Is Not Necessary for the Learning of Novel Dynamics

M. Kawato, D. W. Franklin, E. Burdet, 2007, PloS one.

Mutual Benefits of Using Humanoid Robots in Social Neuroscience

M. Kawato, T. Chaminade, 2011 .

Unconscious reinforcement learning of hidden brain states supported by confidence

M. Kawato, H. Lau, A. Cortese, 2020, Nature Communications.

Advances in fMRI Real-Time Neurofeedback

Takeo Watanabe, M. Kawato, Kazuhisa Shibata, 2017, Trends in Cognitive Sciences.

Accurate real-time feedback of surface EMG during fMRI.

R Gassert, H Imamizu, M Kawato, 2007, Journal of neurophysiology.

Neural Correlates of Predictive and Postdictive Switching Mechanisms for Internal Models

M. Kawato, H. Imamizu, 2008, The Journal of Neuroscience.

Pain Control by Co-adaptive Learning in a Brain-Machine Interface

B. Seymour, M. Kawato, W. Yoshida, 2020, Current Biology.

Endogenous controllability of closed-loop brain-machine interfaces for pain

B. Seymour, M. Kawato, W. Yoshida, 2018, bioRxiv.

The common inverse-dynamics motor-command coordinates for complex and simple spikes

M. Kawato, M. Kawato, 1996 .

Fear reduction without fear through reinforcement of neural activity that bypasses conscious exposure

B. Seymour, M. Kawato, W. Yoshida, 2016, Nature Human Behaviour.

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

Saori C. Tanaka, J. Morimoto, M. Kawato, 2018, bioRxiv.

From self-observation to imitation: Visuomotor association on a robotic hand

M. Kawato, G. Cheng, T. Chaminade, 2008, Brain Research Bulletin.

Connectivity Neurofeedback Training Can Differentially Change Functional Connectivity and Cognitive Performance

M. Kawato, H. Imamizu, A. Yamashita, 2017, Cerebral cortex.

Mirror neurons: Functions, mechanisms and models

M. Arbib, M. Kawato, E. Oztop, 2013, Neuroscience Letters.

Selecting Optimal Behaviors Based on Contexts

K. Doya, D. Wolpert, M. Kawato, 2003 .

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

M. Kawato, M. Haruno, 2006, Journal of neurophysiology.

The control of tonic pain by active relief learning

T. Robbins, B. Seymour, M. Kawato, 2017, bioRxiv.

The control of tonic pain by active relief learning

T. Robbins, B. Seymour, M. Kawato, 2017, bioRxiv.

Brain mechanisms for predictive control by switching internal models: implications for higher-order cognitive functions

M. Kawato, H. Imamizu, 2009, Psychological research.

Recognition of manipulated objects by motor learning with modular architecture networks

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

Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network

M. Kawato, H. Imamizu, Fukuda Megumi, 2015, Front. Hum. Neurosci..

Decoding sequential finger movements from preparatory activity in higher‐order motor regions: a functional magnetic resonance imaging multi‐voxel pattern analysis

M. Kawato, E. Naito, Y. Wada, 2015, The European journal of neuroscience.

Differential Activation Patterns in the Same Brain Region Led to Opposite Emotional States

Takeo Watanabe, M. Kawato, Kazuhisa Shibata, 2016, PLoS biology.

Improved hyperacuity estimation of spike timing from calcium imaging

M. Kawato, Masa-aki Sato, S. Shinomoto, 2020, Scientific Reports.

Precise hyperacuity estimation of spike timing from calcium 1 imaging 2 3

M. Kawato, Masa-aki Sato, S. Shinomoto, 2019 .

Task-specific disruption of perceptual learning.

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

Visual perceptual learning of a primitive feature in human V1/V2 as a result of unconscious processing, revealed by Decoded fMRI Neurofeedback (DecNef)

Takeo Watanabe, M. Kawato, Kazuhisa Shibata, 2020, bioRxiv.

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 .

Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons

M. Kawato, K. Aihara, K. Toyama, 2020, PLoS computational biology.

Synergism and antagonism of neurons caused by an electrical synapse

M. Kawato, R. Suzuki, M. Kawato, 1979, Neuroscience Letters.

Overlapping but Asymmetrical Relationships Between Schizophrenia and Autism Revealed by Brain Connectivity.

J. Morimoto, M. Kawato, H. Imamizu, 2020, Schizophrenia bulletin.

Overlapping but asymmetrical relationships between schizophrenia and autism revealed by brain connectivity

J. Morimoto, M. Kawato, H. Imamizu, 2018, bioRxiv.

Electrical coupling controls dimensionality and chaotic firing of inferior olive neurons

M. Kawato, K. Aihara, K. Toyama, 2019, bioRxiv.

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

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

Systems Biology Perspectives on Cerebellar Long-Term Depression

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

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

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

Simulation analysis of excitation conduction in the heart: propagation of excitation in different tissues.

R Suzuki, M Kawato, M. Kawato, 1986, Journal of theoretical biology.

The Neural Substrates of Biological Motion Perception: an fMRI Study

Rieko Osu, Mitsuo Kawato, Philip Servos, 2022 .

Using motor tasks to quantitatively judge 3-D surface curvatures

J. Koenderink, M. Kawato, F. Pollick, 1999, Perception & psychophysics.

Spatio-temporal dynamics of depth propagation on uniform region

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

Depth propagation across an illusory surface.

Takeo Watanabe, Arash Yazdanbakhsh, M. Kawato, 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

Boosting perceptual learning by fake feedback

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

Electrical coupling controls dimensionality and chaotic firing of 1 inferior olive neurons 2 3

M. Kawato, K. Aihara, N. Schweighofer, 2019 .

Generalizable brain network markers of major depressive disorder across multiple imaging sites

Saori C. Tanaka, M. Kawato, H. Imamizu, 2020, PLoS biology.

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

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

- 1-Harmonization of resting-state functional MRI data across multiple imaging sites 1 via the separation of site differences into sampling bias and measurement bias 2 3

Ichikawa, Saori C. Tanaka, J. Morimoto, 2018 .

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.

Foundations of Systems Biology Foundations of Systems Biology Library of Congress Cataloging-in-publication Data

M. A. Keane, Jehoshua Bruck, M. Kawato, 2000 .

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

Helen J. Huang, Sarah E. Pekny, M. Kawato, 2015 .

Population Coding of Forelimb Joint Kinematics by Peripheral Afferents in Monkeys

M. Kawato, Masa-aki Sato, K. Seki, 2012, PloS one.

Metacognition facilitates the exploitation of unconscious brain states

M. Kawato, H. Lau, A. Cortese, 2019, bioRxiv.

Reconstruction of intracortical whisker-evoked local field potential from electrocorticogram using a model trained for spontaneous activity in the rat barrel cortex

M. Kawato, Masa-aki Sato, A. Nambu, 2014, Neuroscience Research.

Multiple linear controllers for nonlinear and nonstationary dynamics

Zoubin Ghahramani, Daniel M. Wolpert, Philipp Vetter, 2000 .

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

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

Author ' s personal copy Premotor cortex mediates perceptual performance

Akiko E. Callan, M. Kawato, Masa-aki Sato, 2010 .

A Kendama Learning Robot Based on Bi-directional Theory

S. Schaal, M. Kawato, H. Miyamoto, 1996, Neural Networks.

A Bi-Directional Theory Approach to Prerational Intelligence

M. Kawato, 2000 .

Imitation Learning by Estimating Intention of Demonstrator

Mitsuo Kawato, Norikazu Sugimoto, Kenji Doya, 2003 .

Learning and Control

Hidenori Kimura, Mitsuo Kawato, Kenji Doya, 2001 .

A reciprocal inhibition model of alternations between non-dissociative and dissociative states in patients with PTSD

M. Kawato, Taisuke Yamamoto, I. Sora, 2019 .

Activity in the Superior Temporal Sulcus Highlights Learning Competence in an Interaction Game

M. Kawato, M. Haruno, 2009, The Journal of Neuroscience.

Decoding Sequential Finger Movements from Preparatory Activity in Higher-order Motor Regions: an Fmri Multi-voxel Pattern Analysis Point-by-point Responses Decoding Sequential Finger Movements from Preparatory Activity in Higher-order Motor Regions: an Fmri Multi-voxel Pattern Analysis

M. Kawato, E. Naito, Y. Wada, 2022 .

INTERACTIONS BETWEEN MULTIPLE OSCILLATORS IN THE BIOLOGICAL RHYTHMS

M. Kawato, 1981 .

Multivoxel patterns for perceptual confidence are associated with false color detection

M. Kawato, H. Lau, A. Cortese, 2019, bioRxiv.

Conducting decoded neurofeedback studies

M. Kawato, H. Lau, A. Cortese, 2020, Social cognitive and affective neuroscience.

A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity

Saori C. Tanaka, B. Seymour, M. Kawato, 2017, bioRxiv.

Neuroimaging Evidence for 2 Types of Plasticity in Association with Visual Perceptual Learning

Takeo Watanabe, M. Kawato, Kazuhisa Shibata, 2016, Cerebral cortex.

Torque Change Model for Arm Trajectory Planning: Minimum Commanded Quantitative Examinations of Internal Representations

M. Kawato, L. Fadiga, H. Gomi, 2015 .

Chapter 16 Optimal Control of Reaching Movements

M. Kawato, Y. Uno, 1994 .

Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants

J. Morimoto, B. Seymour, M. Kawato, 2020, Scientific Reports.

Cable properties of a neuron model with non-uniform membrane resistivity.

M. Kawato, 1984, Journal of theoretical biology.

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.

Common brain networks between major depressive disorder and symptoms of depression that are validated for independent cohorts

Saori C. Tanaka, M. Kawato, H. Imamizu, 2020, bioRxiv.

A reciprocal inhibition model of alternations between under-/overemotional modulatory states in patients with PTSD

M. Kawato, Taisuke Yamamoto, I. Sora, 2020, Molecular Psychiatry.

The control of tonic pain by active 1 relief learning . 2

T. Robbins, B. Seymour, M. Kawato, 2018 .

Brain/MINDS Beyond Human Brain MRI Project: A Protocol for Multi-Site Harmonization across Brain Disorders Throughout the Lifespan

Saori C. Tanaka, D. V. van Essen, M. Kawato, 2020, bioRxiv.

Research Domain Criteria ( RDoC ) : Toward the future of drug discovery for CNS disorders

M. Kawato, S. Yamawaki, 2016 .

Required research activities to overcome addiction problems in Japan

M. Kawato, S. Yamawaki, T. Shirao, 2021 .

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

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

the same robot and methods for controlling the behavior

Jun Morimoto, Gen Endo, Gordon Cheng, 2004 .

Multivoxel Neural Reinforcement Changes Resting-State Functional Connectivity Within the Threat Regulation Network

M. Kawato, H. Lau, Ai Koizumi, 2020, bioRxiv.

Reduction of brooding and more general depressive symptoms after fMRI neurofeedback targeting a melancholic functional-connectivity biomarker

M. Kawato, Y. Kobayashi, J. Miyata, 2021, medRxiv.

Calculating Optimal Criteria for Trajectory Planning Using Observed Movement Data

Rieko Osu, Mitsuo Kawato, Yasuharu Koike, 1996 .

Towards an Unconscious Neurotherapy for Common Fears

M. Kawato, H. Lau, A. Cortese, 2017, bioRxiv.

Towards an Unconscious Neurotherapy for Common

M. Kawato, H. Lau, A. Cortese, 2017 .

Decoded fMRI neurofeedback can induce bidirectional behavioral changes within single participants

M. Kawato, H. Lau, K. Amano, 2016, 1603.03162.

Development of a classifier for gambling disorder based on functional connections between brain regions

M. Kawato, J. Yoshimoto, T. Yoshioka, 2022, Psychiatry and clinical neurosciences.

constraintscontrol of reaching includes kinematic

Mitsuo Kawato, Luciano Fadiga, Charalambos Papaxanthis, 2015 .

Computation in the Cerebellum

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

The observant mind: self-awareness of attentional status

M. Kawato, S. Anderson, N. Yamagishi, 2010, Proceedings of the Royal Society B: Biological Sciences.

Perceived Surface Curvature from Drawing Movements (2)

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

Kawato Dynamic Brain Project

Mitsuo Kawato, M. Kawato, 2000 .

corticescontrol in dorsal and ventral premotor Differential neural correlates of reciprocal activation and

M. Kawato, E. Burdet, G. Ganesh, 2013 .

Robot control by neural network model for voluntary movement

Mitsuo Kawato, Ryoji Suzuki, Yoji Uno, 1988 .

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..

Computational Neuroscience of Cerebellar Internal Model and MOSAIC

Mitsuo Kawato, M. Kawato, 2002 .

Motor Learning in the Brain

Mitsuo Kawato, M. Kawato, 1995 .

Speech and song: The role of the cerebellum

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

Editorial for 2007: Another year of exciting special issues!

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

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

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

Global motion is processed as the entire unit but learned locally

Mitsuo Kawato, José E. Náñez, Takeo Watanabe, 2010 .

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.

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

Mitsuo Kawato, M. Kawato, 1989 .

Manipulating Handheld Objects Central Representation of Dynamics When

Mitsuo Kawato, David W. Franklin, Hiroshi Imamizu, 2006 .

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.

Author response: Value signals guide abstraction during learning

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

Opportunities and challenges for a maturing science of consciousness

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

Estimation of Arm Posture in 3D-Space from Surface EMG Signals Using a Neural Network Model (Special Issue on Neurocomputing)

Yasuharu Koike, Mitsuo Kawato, M. Kawato, 1994 .

An Evolutionarily Threat-Relevant Odor Strengthens Human Fear Memory

B. Seymour, M. Kawato, H. Lau, 2020, Frontiers in Neuroscience.

Multivoxel pattern analysis reveals dissociations between subjective fear and its physiological correlates

M. Kawato, H. Lau, Vincent Taschereau-Dumouchel, 2019, Molecular Psychiatry.

Iterative Learning Control for Optimal Trajectory in Robotic Manipulator

Mitsuo Kawato, Mitsuo Kawato, Ryoji Suzuki, 1988 .

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

M. Kawato, E. Burdet, G. Ganesh, 2012 .

Visualizing and manipulating brain dynamics

Mitsuo Kawato, M. Kawato, 2015, UbiComp.

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

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

Humanoid Robot for Brain Research

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

Creation of no-aftereffect-based associative learning of color and orientation without presenting color by decoded fMRI neurofeedback.

M. Kawato, K. Amano, Kazuhisa Shibata, 2016 .

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

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

A year of exciting Special Issues!

Stephen Grossberg, Mitsuo Kawato, John G. Taylor, 2005, Neural Networks.

Celebrating the Year with a Special Issue for IJCNN'03

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

Acquisition of Multiple Internal Models under Multiple Viscous Force Fields

Mitsuo Kawato, Shinya Kotosaka, Yasuhiro Kawabata, 2002 .

The protein kinase Mζ network as a bistable switch to store neuronal memory

Mitsuo Kawato, Hideaki Ogasawara, M. Kawato, 2010, BMC Systems Biology.

Identifying melancholic depression biomarker using whole-brain functional connectivity

J. Morimoto, M. Kawato, R. Hashimoto, 2017, 1704.01039.

Multivoxel pattern analysis reveals dissociations between subjective fear and its physiological correlates

M. Kawato, H. Lau, Vincent Taschereau-Dumouchel, 2019, bioRxiv.

Advances in fMRI Real-Time Neurofeedback (Trends in Cognitive Sciences 21, 997–1010, 2017)

Takeo Watanabe, M. Kawato, Kazuhisa Shibata, 2018, Trends in Cognitive Sciences.

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

Mitsuo Kawato, Tomohiro Shibata, Hiromitsu Tabata, 2002 .

Multiple Paired Forward-Inverse Models in the Cerebellum

Mitsuo Kawato, M. Kawato, 1998, ICONIP.

Cerebellum and motor control

Mitsuo Kawato, M. Kawato, 1998 .

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.

Conducting decoded neurofeedback studies

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

Synergism and antagonism of neurons caused by an electrical synapse

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

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.

Gaussian mixture prior distribution on artifactual current for MEG inverse problem

M. Kawato, Masa-aki Sato, T. Yoshioka, 2010, Neuroscience Research.

Isolating cortical activities from artifacts in simulated EEG data during smooth pursuit eye movements

M. Kawato, Masa-aki Sato, R. Osu, 2011, Neuroscience Research.

Interference in perceptual learning

Mitsuo Kawato, Aaron R. Seitz, Takeo Watanabe, 2004 .

The spatio-temporal window of task-irrelevant perceptual learning

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

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

Mitsuo Kawato, M. Kawato, 1998 .

Estimation of Firing Pattern of Primary Afferents from Joint Kinematics During Voluntary Arm Movements of Monkeys

M. Kawato, Masa-aki Sato, T. Isa, 2013 .

Editorial for 2002: A Time of Exuberant Development

Stephen Grossberg, Mitsuo Kawato, John G. Taylor, 2002, Neural Networks.

Brain Machine Interface and Neuroimaging

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

Boosting perceptual learning by feedback manipulation

Mitsuo Kawato, Shin Ishii, Kazuhisa Shibata, 2010 .

From internal models toward metacognitive AI

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

Report Neural Correlates of Internal-Model Loading

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

Neural Network Model Integrating Visual and Somatic Information

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

Title: Optimal Control of Reaching Includes Kinematic Constraints Running Head: Optimal Control of Reaching Includes Kinematic Constraints

S. Schaal, E. Theodorou, M. Kawato, 2013 .

Burdet Behavior Effort , Not Global Optimization , Determine Motor Motor Memory and Local Minimization of Error and

M. Kawato, M. Haruno, G. Ganesh, 2010 .

An Explanation for the Predection of a Hand Trajectory Generated by an Imperfect Internal Model Representation

M. Kawato, R. Osu, Y. Wada, 2000 .

IEEE Control Systems Magazine

K. Doya, M. Kawato, H. Kimura, 2002 .

Title: a Neural Marker of Obsessive-compulsive Disorder from Whole-brain Functional Contributed Equally to This Work

Saori C. Tanaka, J. Morimoto, M. Kawato, 2017 .

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

M. Kawato, Masa-aki Sato, T. Shimokawa, 2018 .

Perceived motion in structure from motion: Pointing responses to the axis of rotation

M. Kawato, S. Nishida, F. Pollick, 1994 .

Is There Desired Trajectory for Skilled Reaching Movements?

M. Kawato, R. Osu, N. Kamimura, 2005 .

"Task-relevant autoencoding" enhances machine learning for human neuroscience

Cody A. Cushing, M. Kawato, H. Lau, 2022, ArXiv.

Robotics: Science and Technology

Mitsuo Kawato, Jean-Paul Laumond, Philippe Souères, 2012 .

Two are not always better than one: Role specialization is an important determinant of collaborative task performance

J. Morimoto, M. Santello, M. Kawato, 2022, 2205.06196.

Correspondence in pictorial space

J J Koenderink, A M Kappers, M Kawato, 1997, Perception & psychophysics.

Dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components reduces dimensions for reinforcement learning

M. Kawato, K. Toyama, M. Matsuzaki, 2022, bioRxiv.

Perceptual learning is associated with different types of plasticity at different stages ͨ2; revealed by fMRI

Takeo Watanabe, M. Kawato, Kazuhisa Shibata, 2013 .

Monocular deprivation boosts long-term visual plasticity

Takeo Watanabe, M. Kawato, Kazuhisa Shibata, 2012, Current Biology.

Motor dynamics encoding in the rostral zone of the cat cerebellar flocculus during vertical optokinetic eye movements

M. Kawato, T. Kitama, Yu Sato, 2000, Experimental Brain Research.

MOSAIC for Multiple-Reward Environments

Mitsuo Kawato, Norikazu Sugimoto, Kenji Doya, 2008 .

Electrical properties of dendritic spines with bulbous end terminals.

M Kawato, M. Kawato, N. Tsukahara, 1984, Biophysical journal.

Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan

Saori C. Tanaka, M. Kawato, J. Yoshimoto, 2021, NeuroImage: Clinical.

Acquisition of internal representation by multilayered perceptrons

Mitsuo Kawato, Bunpei Irie, Bunpei Irie, 1991 .

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.

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.

Adaptive coupling of inferior olive neurons in cerebellar learning

Mitsuo Kawato, Nicolas Schweighofer, Isao T. Tokuda, 2013, Neural Networks.

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..

Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants

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

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

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

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.

From ‘Understanding the Brain by Creating the Brain’ towards manipulative neuroscience

Mitsuo Kawato, M. Kawato, 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.

Brain controlled robots

Mitsuo Kawato, M. Kawato, 2008, ICRA.

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.

Dexterous Skills Transfer by Extending Human Body Schema to a Robotic Hand

Gordon Cheng, Mitsuo Kawato, Erhan Öztop, 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

Reinforcement learning with via-point representation

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

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.

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

Mitsuo Kawato, Toshio Inui, Hideki Hayakawa, 1993 .

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..

Internal models for motor control.

M Kawato, D Wolpert, D. Wolpert, 2007, Novartis Foundation symposium.

A computational model for recognizing objects and planning hand shapes in grasping movements

Naohiro Fukumura, Mitsuo Kawato, Ryoji Suzuki, 1995, Neural Networks.

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

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

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.

Different mechanisms involved in adaptation to stable and unstable dynamics.

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

An attempt towards an integrative comparison of psychoanalytical and sensorimotor control theories of action

M. Kawato, P. Haggard, Y. Rossetti, 2007 .

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

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

A Novel Smooth Pursuit Model Based on Recurrent Neural Connections in the MST Cell Population

Mitsuo Kawato, Tomohiro Shibata, Hiromitsu Tabata, 2003 .

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

Stefan Schaal, Mitsuo Kawato, Tomohiro Shibata, 2001 .

Purkinje cell activity in the middle zone of the cerebellar flocculus during optokinetic and vestibular eye movement in cats.

M Kawato, M. Kawato, T. Kitama, 2000, The Japanese journal of physiology.

25th Annual Computational Neuroscience Meeting: CNS-2016

Morten L. Kringelbach, Majid Nili Ahmadabadi, Anders M. Dale, 2016, BMC Neuroscience.

Attentional modulation of oscillatory activity in human visual cortex

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

Computational neuroscience approach to biomarkers and treatments for mental disorders

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

Inverse Dynamics of Speech Motor Control

Eric Vatikiotis-Bateson, Makoto Hirayama, Mitsuo Kawato, 1993, NIPS.

A via-point time optimization algorithm for complex sequential trajectory formation

Mitsuo Kawato, Yasuhiro Wada, M. Kawato, 2004, Neural Networks.

Trajectory formation of arm movement by cascade neural network model based on minimum torque-change criterion

M. Kawato, R. Suzuki, Y. Uno, 1990, 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 .

Quantitative analysis of electrical properties of dendritic spines

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

Hierarchical motor adaptations negotiate failures during force field learning

Rieko Osu, Mitsuo Kawato, Tricia L. Gibo, 2020, bioRxiv.

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

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

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

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

Expansion coding and computation in the cerebellum: 50 years after the Marr–Albus codon theory

Mitsuo Kawato, Okito Yamashita, Terence D Sanger, 2019, The Journal of physiology.

Adaptive feedback control models of the vestibulocerebellum and spinocerebellum

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

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

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

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

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

The mechanism of mental scanning in foveal vision

M. Kawato, R. Suzuki, T. Inui, 1978, Biological Cybernetics.

Two coupled oscillators as a model for the coordinated finger tapping by both hands

Mitsuo Kawato, Ryoji Suzuki, Jun-ichi Yamanishi, 1980, Biological Cybernetics.

Model-based attenuation of movement artifacts in fMRI

R. Gassert, E. Burdet, T. Lemmin, 2010, Journal of Neuroscience Methods.

The Cascade Neural Network Model and a Speed-Accuracy Trade-Off of Arm Movement.

Michael I. Jordan, M. Kawato, M. Hirayama, 1993, Journal of motor behavior.

Speed-accuracy trade-off of arm movement predicted by the cascade neural network model

Michael I. Jordan, Mitsuo Kawato, Makoto Hirayama, 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

Studies on human finger tapping neural networks by phase transition curves

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

A Kendama learning robot based on a dynamic optimization theory

Stefan Schaal, Rieko Osu, Hiroyuki Miyamoto, 1995, Proceedings 4th IEEE International Workshop on Robot and Human Communication.

Inverse dynamics model in the cerebellum

M. Kawato, M. Kawato, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Model of four regions of the cerebellum

M. Kawato, H. Gomi, M. Kawato, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Negative reward-prediction errors of climbing fiber inputs for cerebellar reinforcement learning algorithm

M. Kawato, K. Toyama, M. Matsuzaki, 2023, bioRxiv.

Reciprocal excitation between biological and robotic research

Rieko Osu, Shinya Kotosaka, Dagmar Sternad, 2000, SPIE Optics East.

A multi-site, multi-disorder resting-state magnetic resonance image database

Saori C. Tanaka, J. Morimoto, B. Seymour, 2021, Scientific Data.

Multiple time measurements of multidimensional psychiatric states from immediately before the COVID-19 pandemic to one year later: a longitudinal online survey of the Japanese population

M. Kawato, A. Cortese, Takatomi Kubo, 2021, Translational Psychiatry.

A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals

Terence D. Sanger, Mitsuo Kawato, T. Sanger, 2020, Neural Computation.

Common Brain Networks Between Major Depressive-Disorder Diagnosis and Symptoms of Depression That Are Validated for Independent Cohorts

Saori C. Tanaka, M. Kawato, H. Imamizu, 2021, Frontiers in Psychiatry.

Depressive symptoms reduce when dorsolateral prefrontal cortex-precuneus connectivity normalizes after functional connectivity neurofeedback

M. Kawato, J. Miyata, Y. Yoshihara, 2022, Scientific Reports.

Physiologically Based Speech Synthesis

Yasuharu Koike, Eric Vatikiotis-Bateson, Makoto Hirayama, 1992, NIPS.

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.

Stability and motor adaptation in human arm movements

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

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

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

Corrigendum: An Evolutionarily Threat-Relevant Odor Strengthens Human Fear Memory

B. Seymour, M. Kawato, H. Lau, 2020, Frontiers in Neuroscience.

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

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

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

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

Motor memory and local minimization of error and effort, not global optimization, determine motor behavior.

E Burdet, M Kawato, G Ganesh, 2010, Journal of neurophysiology.

Thermosensory Perceptual Learning Is Associated with Structural Brain Changes in Parietal–Opercular (SII) Cortex

B. Seymour, M. Kawato, W. Yoshida, 2017, The Journal of Neuroscience.

A reciprocal inhibition model of alternations between under-/overemotional modulatory states in patients with PTSD

M. Kawato, Taisuke Yamamoto, I. Sora, 2020, Molecular Psychiatry.

Precise hyperacuity estimation of spike timing from calcium imaging

Yuji Ikegaya, Mitsuo Kawato, Shigeru Shinomoto, 2019, bioRxiv.

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.

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.

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.

Physically interacting individuals estimate the partner’s goal to enhance their movements

Mitsuo Kawato, Etienne Burdet, Gowrishankar Ganesh, 2017, Nature Human Behaviour.

Contour extraction of images on parallel computer-local, parallel and stochastic algorithm which learns energy parameters

S. Miyake, M. Kawato, T. Inui, 1989, International 1989 Joint Conference on Neural Networks.

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.

Estimation of Movement from Surface EMG Signals Using a Neural Network Model

Yasuharu Koike, Mitsuo Kawato, Sybert Stroeve, 2000 .

Studies of Human Arm Control Using a Neural Network Model and Surface EMG Signals

Mitsuo Kawato, Yasuharu Koike, M. Kawato, 1994 .

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.

Concurrent adaptation of force and impedance in the redundant muscle system

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

Reconstruction of movement-related intracortical activity from micro-electrocorticogram array signals in monkey primary motor cortex

Tadashi Isa, Takafumi Suzuki, Yukio Nishimura, 2012, Journal of neural engineering.

Cerebellar Internal Models: Implications for the Dexterous Use of Tools

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

Mirror neurons and imitation: A computationally guided review

Michael A. Arbib, Mitsuo Kawato, Erhan Öztop, 2006, Neural Networks.

Short- and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG.

Rieko Osu, Mitsuo Kawato, David W Franklin, 2002, Journal of neurophysiology.

Premotor cortex mediates perceptual performance

Masa-aki Sato, Mitsuo Kawato, Akiko E. Callan, 2010, NeuroImage.

Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS)

Masa-aki Sato, Rieko Osu, Mitsuo Kawato, 2009, NeuroImage.

Reinforcement Learning with Reusing Mechanism of Avoidance Actions and its Application to Learning Whole-Body Motions of Multi-Link Robot

Mitsuo Kawato, Norikazu Sugimoto, Akihiko Yamaguchi, 2009 .

Learning acquisition of consistent leader–follower relationships depends on implicit haptic interactions

J. Morimoto, M. Santello, M. Kawato, 2021, bioRxiv.

Distinctive alterations in the mesocorticolimbic circuits in various psychiatric disorders

Saori C. Tanaka, M. Kawato, H. Imamizu, 2023, Psychiatry and clinical neurosciences.

Neurons: A Compartmental Model Electrophysiological Properties of Inferior Olive

W. T. Thach, Simon Hong, K. Doya, 2011 .

Central representation of dynamics when manipulating handheld objects.

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

Image data compression using a neural network model

S. Miyake, M. Kawato, N. Sonehara, 1989, International 1989 Joint Conference on Neural Networks.

Theoretical study on electrical properties of dendritic spines.

M. Kawato, N. Tsukahara, 1983, Journal of theoretical biology.

A State-Space Modeling Approach for Localization of Focal Current Sources From MEG

Shin Ishii, Masa-aki Sato, Mitsuo Kawato, 2012, IEEE Transactions on Biomedical Engineering.

Towards an unconscious neural reinforcement intervention for common fears

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

Implicit decoded neurofeedback training as a clinical tool

M. Kawato, Ai Koizumi, 2021, fMRI Neurofeedback.

Fear reduction without fear: Reinforcement of neural activity bypasses conscious exposure

B. Seymour, M. Kawato, H. Lau, 2016 .

PTSD symptoms related to COVID-19 as a high risk factor for suicide - Key to prevention

M. Kawato, A. Cortese, Takatomi Kubo, 2020, medRxiv.

Hierarchical MOSAIC for movement generation

Daniel M. Wolpert, Masahiko Haruno, Mitsuo Kawato, 2003 .

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.

During fMRI Accurate Real-Time Feedback of Surface EMG

Roger Gassert, Hiroshi Imamizu, Mitsuo Kawato, 2007 .

Hierarchical learning of voluntary movement by cerebellum and sensory association cortex

Mitsuo Kawato, Ryoji Suzuki, Michiaki Isobe, 1988 .

Multiple model-based reinforcement learning for nonlinear control

Mitsuo Kawato, Kenji Doya, Kazuyuki Samejima, 2006 .

Impedance control is selectively tuned to multiple directions of movement

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

Conflicting Visual and Proprioceptive Reflex Responses During Reaching Movements

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

directions of movement Impedance control is selectively tuned to multiple

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

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.

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.

Resting-state functional connectivity disruption between the left and right pallidum as a biomarker for subthreshold depression

M. Kawato, Y. Okamoto, G. Okada, 2023, Scientific reports.

Perceptual learning – The past, present and future

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

Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets

Saori C. Tanaka, M. Kawato, H. Imamizu, 2023, Schizophrenia bulletin.

A mathematical model that reproduces vertical ocular following responses from visual stimuli by reproducing the simple spike firing frequency of Purkinje cells in the cerebellum

Yasushi Kobayashi, Mitsuo Kawato, Kenji Yamamoto, 1997, Neuroscience Research.

A computational model of anterior intraparietal (AIP) neurons

Gordon Cheng, Mitsuo Kawato, Hiroshi Imamizu, 2006, Neurocomputing.

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.

Generalizable neuromarker for autism spectrum disorder across imaging sites and developmental stages: A multi-site study

M. Kawato, H. Imamizu, R. Hashimoto, 2023, bioRxiv.

Inverse‐Dynamics Representation of Eye Movements by Cerebellar Purkinje Cell Activity during Short‐Latency Ocular‐Following Responses

K Kawano, M Kawato, H Gomi, 1996, Annals of the New York Academy of Sciences.

Publisher Correction: Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants

J. Morimoto, B. Seymour, M. Kawato, 2020, Scientific Reports.

Identifying multivariate patterns for illusory color perception using decoded fMRI neurofeedback

M. Kawato, H. Lau, A. Cortese, 2018, Journal of Vision.

Human motor adaptation in whole body motion

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

Trajectory formation of arm movement by a neural network with forward and inverse dynamics models

M. Kawato, Y. Wada, M. Kawato, 1993 .

Bodily bonds: effects of social context on ideomotor movements

M. Kawato, M. Shiffrar, N. Sebanz, 2007 .

Translation to the clinic and other modalities

T. Hendler, M. Kawato, I. Jalon, 2021, fMRI Neurofeedback.

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.

Value Shapes Abstraction During Learning

Mitsuo Kawato, Benedetto De Martino, Aurelio Cortese, 2020, bioRxiv.

Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback

Mitsuo Kawato, Takeo Watanabe, Yuka Sasaki, 2018, NeuroImage.

eMOSAIC model for humanoid robot control

Jun Morimoto, Mitsuo Kawato, Norikazu Sugimoto, 2010, Neuroscience Research.

A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity

Saori C. Tanaka, B. Seymour, M. Kawato, 2017, bioRxiv.

Conceptual and Computational Models of Mirror Neurons

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

XoR: Hybrid drive exoskeleton robot that can balance

Jun Morimoto, Takamitsu Matsubara, Mitsuo Kawato, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

The DecNef collection, fMRI data from closed-loop decoded neurofeedback experiments

Saori C. Tanaka, Takeo Watanabe, M. Kawato, 2021, Scientific Data.

Individuals' and groups' intentions in the medial prefrontal cortex

M. Kawato, C. Frith, T. Chaminade, 2011, Neuroreport.

Value signals guide abstraction during learning

M. Kawato, B. De Martino, A. Cortese, 2021, eLife.

MOSAIC Reinforcement Learning Architecture: Symbolization by Predictability and Mimic Learning by Symbol

Mitsuo Kawato, Kenji Doya, Kazuyuki Samejima, 2001 .

Mirror neurons: Functions, mechanisms and models

M. Arbib, M. Kawato, E. Oztop, 2013, Neuroscience Letters.

Learning in neural networks for visual information processing.

Mitsuo Kawato, Sei Miyake, Takatoshi Ikeda, 1988 .

Classification and characterisation of brain network changes in chronic back pain: A multicenter study [version 2; peer review: 3 approved]

B. Seymour, M. Kawato, W. Yoshida, 2022 .

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

M. Kawato, R. Hashimoto, N. Kato, 2017, The international journal of neuropsychopharmacology.

Weight Changes When Lifting Objects Brain Activity During Predictable and Unpredictable

David W. Franklin, Hiroshi Imamizu, Theodore E. Milner, 2006 .

Visual perceptual learning of a primitive feature in human V1/V2 as a result of unconscious processing, revealed by decoded functional MRI neurofeedback (DecNef)

Sebastian M. Frank, Takeo Watanabe, M. Kawato, 2021, Journal of vision.

Sparse linear regression for reconstructing muscle activity from human cortical fMRI

Mitsuo Kawato, Etienne Burdet, Masahiko Haruno, 2008, NeuroImage.

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..

Simulation analysis of conduction of excitation in the atrioventricular node.

R Suzuki, M Kawato, M. Kawato, 1987, Journal of theoretical biology.

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

Stefan Schaal, Mitsuo Kawato, Luciano Fadiga, 2015 .

"Task-relevant autoencoding" enhances machine learning for human neuroscience

Megan A. K. Peters, M. Kawato, H. Lau, 2022, ArXiv.

Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model.

M. Kawato, T. Milner, D. W. Franklin, 2003, Journal of neurophysiology.

A three-oscillator model of the human circadian system controlling the core temperature rhythm and the sleep-wake cycle.

R Suzuki, M Kawato, M. Kawato, 1982, Journal of theoretical biology.

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

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

Learning acquisition of consistent leader–follower relationships depends on implicit haptic interactions

J. Morimoto, M. Santello, M. Kawato, 2023, Scientific Reports.

Mirror neurons: Functions, mechanisms and models

M. Arbib, M. Kawato, E. Oztop, 2013, Neuroscience Letters.

Mirror neurons and imitation: A computationally guided review

M. Arbib, M. Kawato, Erhan Öztop, 2006, Neural Networks.

Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning

M. Kawato, K. Toyama, M. Matsuzaki, 2024, bioRxiv.

Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model.

M. Kawato, T. Milner, D. W. Franklin, 2003, Journal of neurophysiology.

MOSAIC for Multiple-Reward Environments

K. Doya, M. Kawato, M. Haruno, 2012, Neural Computation.

The Curvature of Hand Paths in Multi-joint Movements: Examinations of Computational Theories for Trajectory Planning

Rieko Osu, Mitsuo Kawato, Hiroshi Imamizu, 1996 .

Opportunities and challenges for a maturing science of consciousness

Lisa J. Miracchi, Megan A. K. Peters, Robert W. Kentridge, 2019, Nature Human Behaviour.

Sensorimotor Control of Grasping: Models for the control of grasping

M. Kawato, E. Oztop, 2009 .

Teaching by Showing for Task level Robot Learing through movement Pattern Perception

Hiroyuki Miyamoto, Mitsuo Kawato, Hiroaki Gomi, 1994 .

Impedance control balances stability with metabolically costly muscle activation.

M. Kawato, T. Milner, D. W. Franklin, 2004, Journal of neurophysiology.

[Simulation of IP3/Ca2+ signaling pathway in neurons: the system of coincidence detection of input timing in cerebellar Purkinje cells].

M. Kawato, Tomokazu Doi, Shinya Kuroda, 2003, Tanpakushitsu kakusan koso. Protein, nucleic acid, enzyme.

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

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

Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol

M. Kawato, T. Yoshioka, Y. Okamoto, 2023, BMC Psychiatry.