Rieko Osu
Orcid: 0000-0003-3511-8722
According to our database1,
Rieko Osu
authored at least 16 papers
between 1996 and 2021.
Collaborative distances:
Collaborative distances:
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Bibliography
2021
PLoS Comput. Biol., 2021
2017
Neural pattern similarity between contra- and ipsilateral movements in high-frequency band of human electrocorticograms.
NeuroImage, 2017
2016
Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes.
NeuroImage, 2016
2015
Resting-state brain activity in the motor cortex reflects task-induced activity: A multi-voxel pattern analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2012
Cortical current source estimation from electroencephalography in combination with near-infrared spectroscopy as a hierarchical prior.
NeuroImage, 2012
2009
Single-trial reconstruction of finger-pinch forces from human motor-cortical activation measured by near-infrared spectroscopy (NIRS).
NeuroImage, 2009
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009
2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
An Involuntary Muscular Response Induced by Perceived Visual Errors in Hand Position.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
2006
2005
Trajectory formation based on the minimum commanded torque change model using the Euler-Poisson equation.
Syst. Comput. Jpn., 2005
2002
Composition and decomposition learning of reaching movements under altered environments: An examination of the multiplicity of internal models.
Syst. Comput. Jpn., 2002
2001
Quantitative examinations for multi joint arm trajectory planning--using a robust calculation algorithm of the minimum commanded torque change trajectory.
Neural Networks, 2001
Multi Joint Arm Trajectory Formation Based on the Minimization Principle Using the Euler-Poisson Equation.
Proceedings of the Artificial Neural Networks, 2001
1996