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An Internal Model of the Human Hand Affects Recognition of Graspable Tools

  • Masazumi KatayamaEmail author
  • Yusuke Akimaru
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9950)

Abstract

In this study, we validated a plausibility of a hypothesis that in the human brain an internal simulation of grasping contributes to tool recognition. Such an internal simulation must be performed by utilizing internal models of the human hand. An internal model corresponding to a geometrically transformed hand shape was retrained by an experimental paradigm we built. The retrained internal model of the dominant hand affected cognitive judgments of object size of tools used by the dominant hand and however did not influence these of tools used by the non-dominant hand. While, those results in the training condition of the non-dominant hand showed the reverse tendency of the former results. The above results indicate the plausibility of the hypothesis.

Keywords

Graspable tool Recognition Internal model Human hand 

Notes

Acknowledgments

This research was partially supported by MEXT KAKENHI (C) No. 15K00200.

References

  1. 1.
    Katayama, M., Kawato, M.: A neural network model integrating visual information, somatosensory information and motor command. J. Robot. Soc. Japan 8, 757–765 (1990). in JapaneseCrossRefGoogle Scholar
  2. 2.
    Borghi, A.M.: Object concepts and action. In: Grounding Cognition: The Role of Perception and Action in Memory, Language, and Thinking, pp. 2–34. Cambridge University Press, Cambridge (2005)Google Scholar
  3. 3.
    Shidara, M., Kawano, K., Gomi, H., Kawato, M.: Inverse-dynamics model eye movement control by purkinje cells in the cerebellum. Nature 365, 50–52 (1993)CrossRefGoogle Scholar
  4. 4.
    Imamizu, H., Miyauchi, S., Tamada, T., Sasaki, Y., Takino, R., Putz, B., Yoshioka, T., Kawato, M.: Human cerebellar activity reflecting an acquired internal model of a new tool. Nature 403(6766), 192–195 (2000)Google Scholar
  5. 5.
    Jeannerod, M.: The representing brain: neural correlates of motor intention and imagery. Behav. Brain Sci. 17, 187–245 (1994)CrossRefGoogle Scholar
  6. 6.
    Sirigu, A., Duhamel, J.R., Cohen, L., Pillon, B., Dubois, B., Agid, Y.: The mental representation of hand movements after parietal cortex damage. Science 273(5281), 1564–1568 (1996)CrossRefGoogle Scholar
  7. 7.
    Chao, L.L., Martin, A.: Representation of manipulable man-made objects in the dorsal stream. NeuroImage 12, 478–484 (2000)CrossRefGoogle Scholar
  8. 8.
    Katayama, M., Kurisu, T.: Human object recognition based on internal models of the human hand. In: Yamaguchi, Y. (ed.) Advances in Cognitive Neurodynamics (III), pp. 591–598. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  9. 9.
    Linkenauger, S.A., Ramenzoni, V., Proffitt, D.: Illusory shrinkage and growth: bady based scaling affects the perception of size. Psychol. Sci. 21(9), 1318–1325 (2010)CrossRefGoogle Scholar
  10. 10.
    van der Hoort, B., Guterstam, A., Ehrsson, H.H.: Being barbie: the size of one’\(s\) own body determines the perceived size of the world. PLoS ONE 6(5), 1–10 (2011)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Department of Human and Artificial Intelligent Systems, Graduate School of EngineeringUniversity of FukuiFukui-shiJapan

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