Hiroyuki Kambara

2007-2016 Tokyo Institute of Techonology, Precision & Intelligence Lab. Assistant Professor
2016-current Tokyo Institute of Techonology, Institute of Innovative Research, Assistant Professor

Field of Specialization
Computational Neuroscience

Biointerfaces Unit(IIR, Tokyo Tech)


Research Hub Group:Information and Artificial Intelligence Research International Hub Group

Research Highlights

  • We proposed computational model for neural motor learning of reaching movements.

  • We found perception of the weight of objects is systematically affected by prediction error of the timing when objects are placed on the hand.

Selected Awards

  • 2015 IEEE Computational Intelligence Society Japan Chapter, Young Researcher Award (Neurocomputing)

Selected Publications

  • H. Kambara, D. Shin, Y. Koike: A computational model for optimal muscle activity considering muscle viscoelasticity in wrist movements, J. Neurophysiol., 109, 2145-2160(2013)
  • H. Kambara, D. Shin, T. Kawase, N. Yoshimura, K. Akahane, M. Sato, Y. Koike: The effect of temporal perception on weight perception, Front. Psychol., 4, #40(2013)
  • H. Kambara, K. Ohishi, Y. Koike: Learning Strategy in Time-to-Contact Estimation of Falling Objects, J. Advanced Computational Intelligence and Intelligent Informatics, 18, 972-979(2011)
  • H. Kambara, K. Kim, D. Shin, M. Sato, Y. Koike: Learning and generation of goal-directed arm reaching from scratch, Neural Networks, 22, 384-361(2009)
  • 神原裕行, 金載烋, 佐藤誠, 小池康晴: 強化学習とフィードバック誤差を用いた腕の姿勢制御, 電子情報通信学会論文誌, J88-D(5), 1036-1048(2006)