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Neuroinformatics Lab
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The lab decodes what people see and dream from brain activity, connecting the brain and AI.
AboutAbout the lab
Bringing the contents of the mind out from brain activity
The Neuroinformatics Lab (Kamitani Lab) studies how the brain represents and processes information, and develops technology that reads out the contents of the mind from brain activity and makes them visible.
Bridging neuroscience and AI, the lab works in four areas: brain decoding, NeuroAI, brain-machine interfaces, and brain science and art.
The lab also collaborates closely with the ATR Brain Information Communication Research Laboratory.
Key terms
- Brain decoding
- Technology that uses machine learning to read out what a person is seeing or imagining from patterns of brain activity
- fMRI
- A device that images which parts of the brain are active based on changes in blood flow in the brain
- Deep neural network
- An artificial neural network made of many stacked layers; a core technology of current AI
- Brain-machine interface
- Technology that converts brain signals into commands to operate machines; also called BMI
NewsLab news
View More ↗ResearchResearch themes
The lab views brain decoding as a "translation–generation pipeline" that converts brain activity into representations of a generative model and generates images and sounds from them.
*Illustrative imageBrain decoding
Using machine learning, the lab decodes perception, mental imagery, and dream content from patterns of brain activity measured with fMRI.
*Illustrative imageNeuroAI: the science of brain and AI representations
Asking whether the brain and AI are similar, the lab has found correspondences between the hierarchy of deep neural networks and the hierarchy of the brain's visual system.
*Illustrative imageControlling machines with brain signals
Applying brain decoding methods, the lab succeeded in reading the hand shape in rock-paper-scissors from brain activity and using it to move a robot hand.
MembersFaculty
- ProfessorYukiyasu Kamitani
- Associate ProfessorYukiori Goto
- LecturerHiroshi Hosokawa
- Assistant ProfessorYoshihiro Nagano
- Assistant ProfessorShingo Maegawa
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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.
- Top image: “EEG Recording Cap” Chris Hope / CC BY 2.0 (cropped)
- Brain decoding: “FMRI scan during working memory tasks” John Graner, Neuroimaging Department, National Intrepid Center of Excellence, Walter Reed National M / Public domain (cropped)
- NeuroAI: the science of brain and AI representations: “Artificial Neural Network with Chip” mikemacmarketing / photo on flickr / CC BY 2.0 (cropped)
- Controlling machines with brain signals: “Prosth hand” uwnews / CC BY 2.0 (cropped)
- Related lab (認知情報学 分野): “Human eye iris 1” Kamil Saitov / CC BY 4.0 (cropped)
- Related lab (心理情報学 分野): “Car sim virage” DriverSafety / CC BY 3.0 (cropped)
- Related lab (計算神経科学
（連携ユニット） ): “Nyt-Cajal DRAWING m1673-resized-for-web” Santiago Ramón y Cajal / Public domain (cropped) - Related lab (計算論的認知神経科学
（連携ユニット） ): “Anatomical model of human brain, Wellcome L0010009” Wellcome Images / CC BY 4.0 (cropped)
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