Hiroshi Imamizu, Ph.D.
Department of Cognitive Neuroscience
ATR Cognitive Mechanisms Laboratories
Center for Information and Neural Networks
National Institute of Information and Communications Technology
I obtained a Ph.D. (Experimental Psychology, 1995) and MS (Experimental Psychology, 1989) both from the University of Tokyo, Japan. I worked in ATR Human Information Processing Research Laboratories in Kyoto from 1992 to 96 as a Research Associate. From 1996 to 2001, I worked as a leader of Computational Psychology Group in KDB, ERATO, JST. From 2001 to 2004, I worked as a senoir researcher in ATR Human Information Science Laboratories. From 2004 to 2010, I worked as a head of Department of Cognitive Neuroscience in ATR Computational Neuroscience Laboratories. I have been working as a leader of Biological ICT Group in National Institute of Information and Communications Technology since 2009, and a director of ATR Cognitive Mechanisms Laboratories since 2010.
Research Interests
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My original research interest is in human sensorimotor learning from psychological and computational points of view. Using methods of experimental psychology, I have been studied generalization abilities of skills and coordinate systems adopted by the sensorimotor integration mechanism. I have started investigating brain activation using fMRI (functional magnetic resonance imaging) when human subjects are learning skills to use a new tool.
Ogawa K. & Imamizu H. (2013).
Human sensorimotor cortex represents conflicting visuomotor mappings.
Journal of Neuroscience, 33(15), 6412-22
[PDF]
Honda T., Hagura N., Yoshioka T., & Imamizu H. (2013).
Imposed visual feedback delay of an action changes mass perception based on the sensory prediction error.
Frontiers in Psychology, 4, Article #760
[PDF]
Tanaka H., Homma K., & Imamizu H. (2012).
Illusory reversal of causality between touch and vision has no effect on prism adaptation rate.
Frontiers in Psychology, 3, Article #545
[PDF]
Imamizu H. & Kawato M. (2012). Review
Cerebellar Internal Models: Implications for the Dexterous Use of Tools.
Cerebellum
[PDF]
Tanaka H., Homma K., & Imamizu H. (2011).
Physical delay but not subjective delay determines learning rate in prism adaptation.
Experimental Brain Research, 208(2), 257-68
[PDF]
Toda A., Imamizu H., Kawato M., & Sato MA. (2011).
Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods.
NeuroImage, 54(2), 892-905
[PDF]
Imamizu H. (2010). Review
Prediction of sensorimotor feedback from the efference copy of motor commands: A review of behavioral and functional neuroimaging studies.
Japanese Psychological Research, 52(2), 107-20
[PDF]
Imamizu H. & Kawato M. (2009). Review
Brain mechanisms for predictive control by switching internal models: implications for higher-order cognitive functions.
Psychological Research, 73(4), 527-44
[PDF]
Imamizu H. & Kawato M. (2008).
Neural correlates of predictive and postdictive switching mechanisms for internal models.
Journal of Neuroscience, 28(42), 10751-65
[PDF]
Imamizu H., Sugimoto N., Osu R., Tsutsui K., Wada Y. & Kawato M. (2007).
Explicit contextual information selectively contributes to predictive switching of internal models.
Experimental Brain Research, 181(3), 395-408
[PDF]
Imamizu H., Higuchi S., Toda A., & Kawato M. (2007).
Reorganization of brain activity for multiple internal models after short but intensive training.
Cortex, 43(3), 338-349.
[PDF]
Imamizu H., Kuroda T., Yoshioka T., & Kawato M. (2004).
Functional magnetic resonance imaging examination of two modular architectures for switching multiple internal models.
Journal of Neuroscience, 24(5), 1173-81.
[PDF]
Imamizu H., Kuroda T., Miyauchi S., Yoshioka T., & Kawato M. (2003).
Modular organization of internal models of tools in the human cerebellum.
Proc Natl Acad Sci U S A, 100, 5461-6.
[PDF] [Movie]
Imamizu H., Miyauchi S., Tamada,T., Sasaki Y., Takino R., Puetz
B., Yoshioka T., Kawato M. (2000).
Human cerebellar activity reflecting an acquired internal model of a novel
tool.
Nature, 403, 192-195. [PDF]
Imamizu, H., Uno, Y., & Kawato, M. (1998).
Adaptive internal model of intrinsic kinematics involved
in learning an aiming task.
J Exp Psychol Hum Percept Perform, 24(3), 812-29.
[PDF(2.2M),
Compressed(682K)]
Imamizu, H., Uno, Y., & Kawato, M. (1995).
Internal representations of the motor apparatus: implications from generalization
in visuomotor learning.
J Exp Psychol Hum Percept Perform, 21(5), 1174-98.
Imamizu, H., & Shimojo, S. (1995).
The locus of visual-motor learning at the task or manipulator level: implications
from intermanual transfer.
J Exp Psychol Hum Percept Perform, 21(4), 719-33.
Miall, R.C., Reckess, G.Z. & Imamizu, H. (2001)
The cerebellum coordinates eye and hand tracking movements.
Nature Neuroscience, 4(6), 638-644
Miall, R.C., Imamizu, H., & Miyauchi, S.. (2000)
Activation of the cerebellum in co-ordinated eye and hand tracking movements:
an fMRI study.
Exp Brain Res,135(1), 22-33.
Flanagan, J.R., Nakano, E., Imamizu, H., Osu, R., Yoshioka, T., & Kawato,
M. (1999).
Composition and decomposition of internal models in motor learning under
altered kinematic and dynamic environments.
The Journal of Neuroscience, 19(20):RC34:1-5.
[full text]
Tamada, T., Miyauchi, S., Imamizu, H., Yoshioka, T., &
Kawato, M. (1999).
Cerebro-cerebellar functional connectivity revead by the laterality index
in tool-use learning.
Neuroreport, 10(2), 325-31.
Itakura, S., & Imamizu, H. (1994).
An exploratory study of mirror-image shape discrimination in young children:
vision and touch.
Percept Mot Skills, 78(1), 83-8.
- The Japan Psychological Association
- Japan Society of Developmental Psychology
- Society for Neuroscience, USA