Hiroshi Imamizu

Summary

Affiliation: Human Information Science Laboratories
Country: Japan

Publications

  1. pmc Modular organization of internal models of tools in the human cerebellum
    Hiroshi Imamizu
    Advanced Telecommunications Research Institute, Human Information Science Laboratories, 2 2 2 Hikaridai, Seika, Soraku, Kyoto 619 0288, Japan
    Proc Natl Acad Sci U S A 100:5461-6. 2003
  2. ncbi request reprint Functional magnetic resonance imaging examination of two modular architectures for switching multiple internal models
    Hiroshi Imamizu
    Advanced Telecommunications Research Institute Computational Neuroscience Laboratories, Keihanna Science City, Kyoto 619 0288, Japan
    J Neurosci 24:1173-81. 2004
  3. ncbi request reprint Internal forward models in the cerebellum: fMRI study on grip force and load force coupling
    Mitsuo Kawato
    ATR Human Information Science Laboratories, 2 2 2, Hikaridai, Seika cho, Soraku gun, Kyoto 619 0288, Japan
    Prog Brain Res 142:171-88. 2003
  4. doi request reprint Brain mechanisms for predictive control by switching internal models: implications for higher-order cognitive functions
    Hiroshi Imamizu
    Biological Information and Communications Technology Group, National Institute of Information and Communications Technology, 2 2 2, Hikaridai, Keihanna Science City, Kyoto, 619 0288, Japan
    Psychol Res 73:527-44. 2009
  5. doi request reprint Physical delay but not subjective delay determines learning rate in prism adaptation
    Hirokazu Tanaka
    National Institute of Information and Communications Technology NICT, Hikaridai 2 2 2, Keihanna Science City, Kyoto 619 0288, Japan
    Exp Brain Res 208:257-68. 2011
  6. ncbi request reprint Explicit contextual information selectively contributes to predictive switching of internal models
    Hiroshi Imamizu
    Department of Cognitive Neuroscience, ATR Computational Neuroscience Laboratories, 2 2 2, Hikaridai, Keihanna Science City, Kyoto 6190288, Japan
    Exp Brain Res 181:395-408. 2007
  7. ncbi request reprint A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task
    Masahiko Haruno
    Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute, Kyoto 619 0288, Japan
    J Neurosci 24:1660-5. 2004
  8. doi request reprint Neural correlates of predictive and postdictive switching mechanisms for internal models
    Hiroshi Imamizu
    Advanced Telecommunications Research Institute International, Computational Neuroscience Laboratories, and National Institute of Information and Communications Technology, Kyoto 619 0288, Japan
    J Neurosci 28:10751-65. 2008
  9. doi request reprint Human sensorimotor cortex represents conflicting visuomotor mappings
    Kenji Ogawa
    Cognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International, Keihanna Science City, Kyoto 619 0288, Japan
    J Neurosci 33:6412-22. 2013
  10. doi request reprint Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods
    Akihiro Toda
    Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Keihanna Science City, Kyoto, Japan
    Neuroimage 54:892-905. 2011

Detail Information

Publications16

  1. pmc Modular organization of internal models of tools in the human cerebellum
    Hiroshi Imamizu
    Advanced Telecommunications Research Institute, Human Information Science Laboratories, 2 2 2 Hikaridai, Seika, Soraku, Kyoto 619 0288, Japan
    Proc Natl Acad Sci U S A 100:5461-6. 2003
    ....
  2. ncbi request reprint Functional magnetic resonance imaging examination of two modular architectures for switching multiple internal models
    Hiroshi Imamizu
    Advanced Telecommunications Research Institute Computational Neuroscience Laboratories, Keihanna Science City, Kyoto 619 0288, Japan
    J Neurosci 24:1173-81. 2004
    ..These results suggest that switching mechanisms in the frontal cortex can be explained by the mixture-of-experts architecture, whereas those in the cerebellum and the parietal cortex are explained by the MOSAIC model...
  3. ncbi request reprint Internal forward models in the cerebellum: fMRI study on grip force and load force coupling
    Mitsuo Kawato
    ATR Human Information Science Laboratories, 2 2 2, Hikaridai, Seika cho, Soraku gun, Kyoto 619 0288, Japan
    Prog Brain Res 142:171-88. 2003
    ..Then, we used functional magnetic resonance imaging (fMRI) to measure the brain activity related to this coupling and demonstrate that the cerebellum is the most likely site for forward models to be stored...
  4. doi request reprint Brain mechanisms for predictive control by switching internal models: implications for higher-order cognitive functions
    Hiroshi Imamizu
    Biological Information and Communications Technology Group, National Institute of Information and Communications Technology, 2 2 2, Hikaridai, Keihanna Science City, Kyoto, 619 0288, Japan
    Psychol Res 73:527-44. 2009
    ..These studies suggest that a concept of internal models can consistently explain the neural mechanisms and computational principles needed for fundamental sensorimotor functions as well as higher-order cognitive functions...
  5. doi request reprint Physical delay but not subjective delay determines learning rate in prism adaptation
    Hirokazu Tanaka
    National Institute of Information and Communications Technology NICT, Hikaridai 2 2 2, Keihanna Science City, Kyoto 619 0288, Japan
    Exp Brain Res 208:257-68. 2011
    ..These results indicate that prism adaptation occurs independently of awareness of subjective timing and may be processed in primary motor areas that are thought to have fidelity with temporal relations...
  6. ncbi request reprint Explicit contextual information selectively contributes to predictive switching of internal models
    Hiroshi Imamizu
    Department of Cognitive Neuroscience, ATR Computational Neuroscience Laboratories, 2 2 2, Hikaridai, Keihanna Science City, Kyoto 6190288, Japan
    Exp Brain Res 181:395-408. 2007
    ..Explicit contextual information prevents destruction and assists memory retention by improving the changes in output signals. Thus, the asymptotic levels of performance improved...
  7. ncbi request reprint A neural correlate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task
    Masahiko Haruno
    Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute, Kyoto 619 0288, Japan
    J Neurosci 24:1660-5. 2004
    ..These findings suggest that the caudate nucleus is one of the main loci for reward-based behavioral learning...
  8. doi request reprint Neural correlates of predictive and postdictive switching mechanisms for internal models
    Hiroshi Imamizu
    Advanced Telecommunications Research Institute International, Computational Neuroscience Laboratories, and National Institute of Information and Communications Technology, Kyoto 619 0288, Japan
    J Neurosci 28:10751-65. 2008
    ..These results are consistent with separate mechanisms for predictive and postdictive switches and suggest that the LOTC and SMA receive output signals from appropriate internal models...
  9. doi request reprint Human sensorimotor cortex represents conflicting visuomotor mappings
    Kenji Ogawa
    Cognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International, Keihanna Science City, Kyoto 619 0288, Japan
    J Neurosci 33:6412-22. 2013
    ..Our results reveal that the sensorimotor cortex represents different visuomotor mappings, which permits joint learning and switching between conflicting sensorimotor skills...
  10. doi request reprint Reconstruction of two-dimensional movement trajectories from selected magnetoencephalography cortical currents by combined sparse Bayesian methods
    Akihiro Toda
    Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Keihanna Science City, Kyoto, Japan
    Neuroimage 54:892-905. 2011
    ..These results suggest that the combined sparse Bayesian methods provide effective means to predict movement trajectory from non-invasive brain activity directly related to sensorimotor control...
  11. ncbi request reprint Reorganization of brain activity for multiple internal models after short but intensive training
    Hiroshi Imamizu
    ATR Computational Neuroscience Laboratories, Kyoto, Japan
    Cortex 43:338-49. 2007
    ....
  12. ncbi request reprint Neural correlates of internal-model loading
    Lulu L C D Bursztyn
    Department of Psychology and Centre for Neuroscience Studies, Queen s University, Kingston, Ontario K7L 3N6, Canada
    Curr Biol 16:2440-5. 2006
    ..The analysis revealed significant activity in the ipsilateral cerebellum and the contralateral and supplementary motor areas. We propose that these regions are involved in internal-model recruitment in preparation for movement execution...
  13. ncbi request reprint Central representation of dynamics when manipulating handheld objects
    Theodore E Milner
    Computational Neuroscience Laboratories, ATR, Kyoto, Japan
    J Neurophysiol 95:893-901. 2006
    ..We suggest that this is related to imagining the location and motion of an object with complex manipulation dynamics...
  14. ncbi request reprint Central control of grasp: manipulation of objects with complex and simple dynamics
    Theodore E Milner
    School of Kinesiology, Simon Fraser University, Burnaby, Canada
    Neuroimage 36:388-95. 2007
    ..Nat. Neurosci. 1, 635-640, Blakemore, S.-J., Frith, C.D., Wolpert, D.M., 2001. The cerebellum is involved in predicting the sensory consequences of action. NeuroReport 12, 1879-1884)...
  15. ncbi request reprint Cerebellar activity evoked by common tool-use execution and imagery tasks: an fMRI study
    Satomi Higuchi
    Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
    Cortex 43:350-8. 2007
    ..Moreover, for half of the subjects the spatial distribution pattern for each tool was similar, suggesting that neural mechanisms contributing to skillful tool-use are modularly organized in the cerebellum...
  16. ncbi request reprint Activation of the human superior temporal gyrus during observation of goal attribution by intentional objects
    Johannes Schultz
    Wellcome Department of Imaging Neuroscience, London, UK
    J Cogn Neurosci 16:1695-705. 2004
    ..These data implicate the superior temporal gyrus in the identification of objects displaying complex goal-directed motion...