Yasuharu Koike

Information/AI

Yasuharu Koike

Professor

Computational NeuroscienceHuman Motor Control TheoryHuman interface

Expectations for WRHI

I hope that collaborative research with overseas universities will progress, including exchange of students.

Research Projects

  • Visualization and Skill Tradition for knowledge of dexterity

    In this research, we aim to develop equipment and structure that can be passed on to people by visualization.Especially on issues that require the control of the force, to measure and analyze the work of Takumi such as "intuition" or "remember in the body", to understand the problem to the extent possible program.
    Implementation period: December 2018~March 2021
    Related researchers: Natsue Yoshimura, Hiroyuki Kambara, Atsushi Takagi

    Skillstraditionmusculoskeletal modelelectroencephalogram

  • Development of a new brain machine interface based on brain prediction function

    In this research, under the hypothesis that a motion command is generated so as to correct the error between the future state prediction by the movement and the target state, under the hypothesis that this error information is extracted from the brain activity, it seems like to manipulate his / her body We aim to create a brain machine interface that manipulates robots.
    Implementation period: April 2018~March 2019
    Related researchers: Yasuhiro Wada, Hidekazu Yoshida, Ganesh Gowrishankar, Hideyuki Ando, Natsue Yoshimura

    Prediction errorEEGHuman interface

  • Development of robot control technology recognizing comfort and integration with people

    IWe aim to develop control technology of robot which can be recognized and operated as a part of the body without being conscious of the machine by being integrated with the person.
    Implementation period: April 2018~March 2021
    Related researchers: Natsue Yoshimura, Hiroyuki Kambara, Atsushi Takagi

    EEGmusculoskeletal modelhuman interface

  • Motion and force are estimated from ECoG signals

  • Analysis of subjective feeling basedn on computational model

1998- 
Tokyo Institute of Techonology, Precision & Intelligence Lab. Assistant Professor
2009- 
Tokyo Institute of Techonology, Precision & Intelligence Lab. Professor
2010- 
Tokyo Institute of Techonology, Solution Research Lab. Professor
2016- 
Tokyo Institute of Techonology, Institute of Innovative Research, Professor
2015.3

Japanese Neural Network Society　the Research Award of Excellence
Three-dimensional Fingertip Trajectory Decoded from Electrocorticogram of Human Cerebral Cortex
Yasuhiko Nakanishi (Tokyo Tech), Takufumi Yanagisawa (Osaka Univ), Duk Shin, Hiroyuki Kambara, Natsue Yoshimura (Tokyo Tech), Ryohei Fukuma (ATR), Haruhiko Kishima, Masayuki Hirata (Osaka Univ), Yasuharu Koike (Tokyo Tech)：NC2014-102
2015.11

Japanese Neural Network Society　the Research Award of Excellence
Muscle synergy recruitment during arm movements in patients with hemiparesis
Toshihiro Kawase (Tokyo Tech), Atsuko Nishimura, Atsuko Nishimoto, Fumio Liu (Keio Univ.), Hiroyuki Kambara, Natsue Yoshimura, Yasuharu Koike (Tokyo Tech) NC2015-38
2021

“Multi–Joint Angles Estimation of Forearm Motion Using a Regression Model”
Qin, Z., Stapornchaisit, S., He, Z., Yoshimura, N., & Koike, Y.
Frontiers in Neurorobotics, 15(August), 1–18. (2021).
2021

“Galvanic Vestibular Stimulation-Based Prediction Error Decoding and Channel Optimization”
Yuxi Shi, Gowrishankar Ganesh, Hideyuki Ando, Yasuharu Koike, Eiichi Yoshida and Natsue Yoshimura
International Journal of Neural SystemsVol. 31, No. 11, 2150034 (2021)
2021

“Restricted Minimum Error Entropy Criterion for Robust Classification”
Li, Y., Chen, B., Yoshimura, N., & Koike, Y.
IEEE Transactions on Neural Networks and Learning Systems, 1–14.(2021).
2021

“Computational reproductions of external force field adaption without assuming desired trajectories”
Hiroyuki Kambara, Atsushi Takagi, Haruka Shimizu, Toshihiro Kawase, Natsue Yoshimura, Nicolas Schweighofer, Yasuharu Koike
Neural Networks Volume 139, July 2021, Pages 179-198
2021

“Exploring EEG Characteristics to Identify Emotional Reactions under Videogame Scenarios.”
Alejandra, L., Puertas-gonz, A., & Yoshimura, N.
brain sciences11(3), 378; (2021).
2021

“Modulation of wrist stiffness caused by adaptation to stochastic environment.”
Kambara, H., Ogawa, H., Takagi, A., Shin, D., Yoshimura, N., & Koike, Y.
Advanced Robotics, 1–17. (2021).
2021

”Constructing Brain Connectivity Model Using Causal Network Reconstruction Approach.”
Saetia, S., Yoshimura, N., & Koike, Y.
Frontiers in Neuroinformatics, 15(February), 1–12.(2021).
2021

“Vowel Sound Synthesis from Electroencephalography during Listening and Recalling”
Wataru Akashi,Hiroyuki Kambara,Yousuke Ogata,Yasuharu Koike,Ludovico Minati,Natsue Yoshimura
Adv. Intell. Syst. 2021,3,2000164
2020

”Muscle Synergy Analysis for Rehabilitation”
Yasuharu Koike, Toshihiro Kawase, Hiroyuki Kambara, Nicolas Schweighofer and Natsue Yoshimura
EPMR.MS.ID.000550. 2(5).2020
2020

”When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance”
Barradas VR, Kutch JJ, Kawase T, Koike Y, Schweighofer N.
J Neurophysiol.;123(6):2180-2190. (2020)