Hiroshi Imamizu

发表

Manipulating Handheld Objects Central Representation of Dynamics When

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

Human machine interface: Hypotheses involving body schema and internal model representations

Mitsuo Kawato, Hiroshi Imamizu, Erhan Oztop, 2010, Neuroscience Research.

Things happening in the brain while humans learn to use new tools

Yoshifumi Kitamura, Mitsuo Kawato, Fumio Kishino, 2003, CHI '03.

Data for: Compress global, dilate local: Intentional binding in action–outcome alternations

Hiroshi Imamizu, Shu Imaizumi, Yoshihiko Tanno, 2019 .

Possible output pathway related to learning to use a new tool

Mitsuo Kawato, Hiroshi Imamizu, Satoru Miyauchi, 1998, Neuroscience Research.

Human Sensorimotor Cortex Represents Conflicting Visuomotor Mappings

Hiroshi Imamizu, Kenji Ogawa, H. Imamizu, 2013, The Journal of Neuroscience.

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

Rieko Osu, Mitsuo Kawato, Hiroshi Imamizu, 1996 .

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

Hiroshi Imamizu, Yuki Sakai, Jin Narumoto, 2018 .

Computational mechanisms dealing with gains and losses in reinforcement learning

Mitsuo Kawato, Hiroshi Imamizu, Takayuki Kosuge, 2010, Neuroscience Research.

Learning and Switching of Internal Models for Dexterous Tool Use

Hiroshi Imamizu, H. Imamizu, 2010 .

A computational model of anterior intraparietal (AIP) neurons

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

Bayesian model of the Sense of Agency in normal subjects

Toshiyuki Kondo, Hiroshi Imamizu, Yuichi Yamashita, 2015, 2015 International Symposium on Micro-NanoMechatronics and Human Science (MHS).

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 .

Anticipatory synergy adjustments reflect individual performance of feedforward force control

Shunta Togo, Hiroshi Imamizu, 2016, Neuroscience Letters.

Temporal recalibration of motor and visual potentials in lag adaptation in voluntary movement

Hiroshi Imamizu, Hirokazu Tanaka, Chang Cai, 2018, NeuroImage.

Reorganization of brain activity for multiple internal models

Mitsuo Kawato, Hiroshi Imamizu, Yasuhiro Wada, 2004 .

Physical but not subjective delay determines learning rate of prism adaptation

Hiroshi Imamizu, Hirokazu Tanaka, Kazuhiro Honma, 2011 .

Report Neural Correlates of Internal-Model Loading

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

Is movement duration predetermined in visually guided reaching? A comparison of finite- and infinite-horizon optimal feedback control

Hiroshi Imamizu, Hirokazu Tanaka, Longchuan Li, 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.

Mechanisms of Human Sensorimotor-Learning and Their Implications for Brain Communication

Hiroshi Imamizu, H. Imamizu, 2008, IEICE Trans. Commun..

Learning process and Sense of Agency: Bayesian learning or not

Toshiyuki Kondo, Hiroshi Imamizu, Shiro Yano, 2016, 2016 International Symposium on Micro-NanoMechatronics and Human Science (MHS).

The Active Sensing of Control Difference

Hajime Asama, Wen Wen, Atsushi Yamashita, 2020, iScience.

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.

Investigation on the Neural Correlates of Haptic Training

Jun Morimoto, Hiroshi Imamizu, Tatsuya Teramae, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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

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

Imposed visual feedback delay of an action changes mass perception based on the sensory prediction error

Hiroshi Imamizu, Takuya Honda, Nobuhiro Hagura, 2013, Front. Psychol..

Empirical Evaluation of Voluntarily Activatable Muscle Synergies

Shunta Togo, Hiroshi Imamizu, 2017, Front. Comput. Neurosci..

Control strategy of hand movement depends on target redundancy

Shunta Togo, Hiroshi Imamizu, Toshinori Yoshioka, 2017, Scientific Reports.

Contribution of internal models to modular learning and coordination of movements

Hiroshi Imamizu, 2005 .

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.

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

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

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

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

During fMRI Accurate Real-Time Feedback of Surface EMG

Roger Gassert, Hiroshi Imamizu, Mitsuo Kawato, 2007 .

Normalized Index of Synergy for Evaluating the Coordination of Motor Commands

Shunta Togo, Hiroshi Imamizu, 2015, PloS one.

Weight Changes When Lifting Objects Brain Activity During Predictable and Unpredictable

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

Adaptive Internal Model of Intrinsic Coordinates Transformation during Learning of a Reaching Task

Mitsuo Kawato, Hiroshi Imamizu, Yoji Uno, 1996 .

Neural dSCA: demixing multimodal interaction among brain areas during naturalistic experiments pdf

Hiroshi Imamizu, Laurence T. Hunt, Yu Takagi, 2021, ArXiv.

Humanoid Brain Science

Emre Ugur, Hiroshi Imamizu, Erhan Oztop, 2015 .

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.

Activation of the cerebellum in co-ordinated eye and hand tracking movements: an fMRI study

Hiroshi Imamizu, Satoru Miyauchi, H. Imamizu, 2000, Experimental Brain Research.

Physical delay but not subjective delay determines learning rate in prism adaptation

Hiroshi Imamizu, Hirokazu Tanaka, H. Imamizu, 2010, Experimental Brain Research.

Prediction of sensorimotor feedback from the efference copy of motor commands: A review of behavioral and functional neuroimaging studies

Hiroshi Imamizu, H. Imamizu, 2010 .

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

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

Illusory Reversal of Causality between Touch and Vision has No Effect on Prism Adaptation Rate

Hiroshi Imamizu, Hirokazu Tanaka, H. Imamizu, 2012, Front. Psychology.

Central representation of dynamics when manipulating handheld objects.

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

Single-trial prediction of reaction time variability from MEG brain activity

Hiroshi Imamizu, Kenji Ogawa, Ryu Ohata, 2016, Scientific Reports.