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Koike Lab
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The lab models muscle activity to understand how the brain moves the body.
AboutAbout the lab
Understanding how the brain works and reproducing it on computers
Koike Lab studies human motor control, sensory integration, measurement of brain activity, and data analysis that links medicine and engineering.
The lab aims to understand the functions of the human brain and to reproduce them on computers by imitating the methods the brain uses.
From an early stage, the lab has developed musculoskeletal models that can estimate muscle tension, joint angles, and more from electromyograms, and has applied them to controlling robots such as prosthetic hands.
Research topics include VR and pseudo-haptics, electromyography and muscle synergies, analysis of electroencephalograms and brain activity, and analysis of medical and nursing care data.
Key terms
- Electromyogram (EMG)
- A recording of the very weak electrical signals produced when muscles move. It shows how strongly a muscle is active
- Computational neuroscience
- A research field that tries to explain the information processing carried out by the brain using mathematical equations and computer models
- Psychophysical experiments
- Experiments that examine how people perceive stimuli while varying factors such as their intensity, in order to express the properties of sensation in numbers
NewsLab news
View More ↗ResearchResearch themes
Centered on the field known as computational neuroscience, the lab studies human interfaces that use musculoskeletal models. Using models that estimate muscle tension and joint movement from electromyograms, it works on controlling robots such as prosthetic hands, and on building motor learning and control models that calculate arm movements.
*Illustrative imageDevelopment of musculoskeletal models
The lab builds models that estimate muscle tension from electromyograms and derive quantities such as joint torque and equilibrium position. These are applied to building motor learning models and to human interfaces such as prosthetic hands.
*Illustrative imageMotor control and learning models
Predictive models, feedback controllers, and similar components are acquired through trial and error without prior knowledge. They are used for controlling musculoskeletal models and robots with artificial rubber muscles, and for explaining the results of psychophysical experiments.
*Illustrative imageElucidating the mechanisms of cognition
Through psychophysical experiments, the lab builds models that quantitatively estimate a person's subjective sensations from biosignals, with the aim of elucidating cognitive functions. It also runs computer simulations that reproduce the experimental results.
MembersFaculty
The members of Koike Lab consist of faculty, administrative support staff, postdoctoral researchers, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorYasuharu KoikePublications ↗
- Project Associate ProfessorMisako KomatsuPublications ↗
- Assistant ProfessorSeitia Supat
- Project Assistant ProfessorNobuo UsuiPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Lightweight, high-strength hands and fingers ( )” Oak Ridge National Laboratory / CC BY 2.0 (cropped)
- Development of musculoskeletal models: “Electromyographic recording at adductor pollicis muscle and stimulation of the ulnar nerve” Paul Anthony Stewart / CC BY-SA 4.0 (cropped)
- Motor control and learning models: “Pneumatic artificial muscle” http://citeseerx.ist.psu.edu / Public domain (cropped)
- Elucidating the mechanisms of cognition: “EEG Recording Cap” Chris Hope / CC BY 2.0 (cropped)
- Related lab (金子研究室): “Ernemann Stereo Betrachtungs Apparat 4,5x10,7 eyepieces-side” Julo / CC0 (cropped)
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