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Miyawaki Lab
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A lab that uncovers human sensory perception through measurement of brain activity and machine learning.
AboutAbout the lab
Uncovering the mechanisms of human sensory perception from brain activity
The Miyawaki Lab studies how humans process information received through the eyes, ears, and skin to perceive their surroundings.
It measures sensory perception with psychophysical experiments, records brain activity from outside the head, and analyzes it with machine learning.
The lab aims to return its findings to society and use them to create things such as functional prosthetic devices for people who have lost sensory function.
The lab was established in fiscal year 2012.
Key terms
- Psychophysical experiment
- An experiment that measures sensory perception numerically using strictly controlled visual, auditory, tactile, and other stimuli
- Electroencephalography (EEG)
- A method that measures electrical changes caused by neural activity in the brain from the surface of the scalp, with millisecond-order temporal resolution
- fMRI
- A method that measures changes in blood flow accompanying neural activity in the brain, with millimeter-order spatial resolution
- Functional prosthetic device
- A device that compensates for a lost sensory function
NewsLab news
A visiting researcher submitted a paper to bioRxiv
A lab member received the Conference Encouragement Award at the 34th Annual Conference of the Japanese Neural Network Society
ResearchResearch themes
Humans recognize their surroundings by processing information from the sensory organs in the brain, but it is known that getting a machine to do the same is very difficult, even for today's high-speed computers. This lab investigates how sensory perception is generated and represented in the brain, using psychophysical experiments, measurement of brain activity, and analysis of the resulting data.
*Illustrative imageMeasuring sensory perception and brain activity
Psychophysical experiments with strictly controlled visual, auditory, and tactile stimuli are used to measure sensory perception quantitatively. At the same time, brain activity is recorded noninvasively from outside the head using electroencephalography (EEG) and fMRI, which are used separately or together depending on the purpose.
*Illustrative imageAnalyzing brain activity with machine learning
Measurement data are large-scale and high-dimensional, so most of the information was discarded in previous research. The lab treats brain activity as multidimensional patterns and analyzes it with machine learning, exploring how the brain represents information based on how the computer learns.
*Illustrative imageApplications in biomedical engineering
When brain activity is fed into a trained computer, it can predict the experimental condition under which that brain activity occurred. This is useful for applications such as brain-machine interfaces, and developing better-performing analysis methods may make it possible to build prosthetic hands controlled by brain activity or systems that turn what a person is thinking into images.
MembersFaculty
The Miyawaki Lab's members consist of faculty, visiting researchers, project researchers, graduate students, undergraduate students, and administrative staff.
- ProfessorYoichi Miyawaki
VoicesStudent voices
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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: “Control drone by eeg” Qwert5 / CC BY-SA 4.0 (cropped)
- Measuring sensory perception and brain activity: “EEG Experiment (cropped)” Flexagoon / CC0 (cropped)
- Analyzing brain activity with machine learning: “Sagittal MRI scan of brain of patient with Chiari malformation” Raymond F Sekula Jr, Peter J Jannetta, Kenneth F Casey, Edward M Marchan, L Kathleen Sekula and Christine S McCrady / CC BY 2.0 (cropped)
- Applications in biomedical engineering: “Brain-computer interface experiment” Laurens R. Krol / CC BY 4.0 (cropped)
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