LAB LOGA page on LabLog, a review site (not the lab's official page)
Yoshimura Lab
Machine-translated · View original
The lab studies brain–machine interfaces that read information from the brain using EEG and fMRI.
AboutAbout the lab
Decoding, visualizing, maintaining, and improving brain function.
The Yoshimura Lab studies how to read information from brain activity signals that can be measured without harming the body, such as EEG and fMRI.
Based on the information it reads, the lab builds brain–machine interfaces (BMIs) that connect the brain to machines.
The lab decodes motor control, hearing and speech, and emotion, using machine learning to extract information from the signals.
As an international collaboration, it is also developing BMIs for people who cannot move their bodies because of amyotrophic lateral sclerosis (ALS).
Key terms
- EEG
- Weak electrical changes that accompany brain activity, measured with electrodes placed on the head
- fMRI
- A method that uses magnetism to find out which parts of the brain are active, from changes in blood flow
- Brain–machine interface
- A mechanism that reads brain activity signals and directly operates a machine or computer
NewsLab news
View More ↗ResearchResearch themes
The lab studies how to extract information from inside the brain using noninvasive brain activity signals such as EEG and fMRI together with machine learning. Through brain information decoding and mechanisms that feed the results back to the user, the lab aims to build brain–machine interfaces that maintain and enhance the functioning of the human mind and body.
*Illustrative imageDecoding Hearing and Speech
From EEG, the lab reads what sounds a person heard and what they imagined, and investigates where in the brain that information is processed. It has also shown the possibility of reproducing heard or recalled sounds as actual sound.
Decoding Movement Information
The lab reads movement-related information from EEG and fMRI. It has built up results that lead to brain–machine interfaces and to an understanding of motor control mechanisms, such as driving a power-assist robot with muscle activity signals estimated from EEG.
*Illustrative imageDecoding Emotion Information
This work uses EEG to read emotional information. The lab has shown that it may be possible to extract from EEG the frustration that arises while operating a computer cursor, and has shown a method for predicting the intensity of emotion from independent components of EEG.
MembersFaculty
The members of the Yoshimura Lab consist of faculty, researchers, doctoral, master's, and undergraduate students, technical support staff, and administrative support staff.As of 2025
- ProfessorNatsue YoshimuraPublications ↗
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Yoshimura Lab
Yuta Itoh LabSchool of Computing, Department of Computer ScienceAugmented reality; display technology
Shunsuke Ono LabSchool of Computing, Department of Computer ScienceSensing data analysis using image processing, signal process…
Masahito Ohue LabSchool of Computing, Department of Computer ScienceBioinformatics and computational drug discovery
Sekijima LabSchool of Computing, Department of Computer ScienceDrug discovery informatics and bioinformatics (supercomputer…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “MRI-Philips” Jan Ainali / CC BY 3.0 (cropped)
- Decoding Hearing and Speech: “EEG Recording Cap” Chris Hope / CC BY 2.0 (cropped)
- Decoding Emotion Information: “Control drone by eeg” Qwert5 / CC BY-SA 4.0 (cropped)
- Related lab (伊藤研究室): “InclusiveGameLab Person-Playing-Virtual-Reality 9 CC-BY-SA” InclusiveGameLab / CC BY-SA 4.0 (cropped)
- Related lab (小野
（峻） 研究室): “Cable racks at grid computing center, Fermilab with blue lights” ENERGY.GOV / Public domain (cropped) - Related lab (大上研究室): “Protein Crystal Structure of the human Sec23a-24a heterodimer, complexed with the SNARE protein Sec22b PDB 2nup” Emw / CC BY-SA 3.0 (cropped)
- Related lab (関嶋研究室): “Bedaquiline 3D” Jovan.gec / CC BY-SA 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.