Experimental
Neuroscience
Careful observation of biological, environmental, and sensory signals.
Imamura
NeuroSpace Lab
Exploring how artificial intelligence can extend the way scientists observe, understand, hypothesize, and design—across neuroscience, architecture, and translational medicine.
Yukio Imamura, Ph.D.Neuroscientist / Founder
NEUROSCIENCE × ARTIFICIAL INTELLIGENCE ×
ARCHITECTURE × MEDICINE
For decades, scientific work has been shaped by the careful practice of observing, measuring, and interpreting complex phenomena. The next era should preserve that human judgment—and give it new reach.
We see AI not as a replacement for researchers, but as a considered collaborator: supporting the connection of evidence, the formation of questions, and the translation of insight into meaningful design.
Our vision in motion ↘Careful observation of biological, environmental, and sensory signals.
New methods for integrating complex research landscapes.
Human-led inquiry, extended through responsible intelligence.
Human-centered AI is designed to enhance—not automate away—the meaningful moments of scientific work.
Attend to phenomena with curiosity and care.
Generate reliable signals from complex systems.
Build context from evidence, experience, and uncertainty.
Form questions that can move research forward.
Connect information and surface new paths for inquiry.
Shape testable, human-centered possibilities.
Carry insight toward the realities of the world.
YUKIO IMAMURA, PH.D.
Neuroscientist
Founder, Imamura NeuroSpace Lab
For more than two decades, my research has explored how the brain responds to biological, environmental, and sensory signals. Today, that work is expanding toward a new question: how can AI extend the way scientists observe, hypothesize, integrate, and design?
Imamura NeuroSpace Lab is an independent research and innovation activity. It is a space for connecting established neuroscience with the possibilities of AI-assisted science—carefully, openly, and with human purpose at its center.
Research ProfileView on researchmap ↗Yukio Imamura, Ph.D. is a neuroscientist and founder of Imamura NeuroSpace Lab. His research activity extends across more than two decades, spanning experimental neuroscience, electrophysiology, biomedical imaging, neuroinflammation, neurodegeneration, and translational biomedical research.
His work has also examined sepsis-associated encephalopathy, near-infrared spectroscopy and fNIRS, and human responses to environments and sensory signals. A doctoral degree was received from Kyoto University.
Research experience has included Kyoto University, Mitsubishi Kagaku Institute of Life Sciences, Ottawa Health Research Institute, research activities related to Okinawa research institutions, RIKEN, Doshisha University, Osaka University Hospital, and Kansai Medical University. Current and recent academic records include affiliations with Kyoto University Graduate School of Engineering and Kansai Medical University.
Neural function, electrophysiology, extracellular environment, and biomedical research.
Sepsis-associated encephalopathy, neuroinflammation, biomedical imaging, and non-invasive therapeutic approaches.
Brain activity, sensory environments, aging, NIRS/fNIRS, and human-centered spatial research.
Connecting neuroscience, biomedical evidence, architecture, and artificial intelligence.
2024 — 42nd Katano Award, Kansai Medical University
Recognizing exploratory research toward active therapeutic intervention for sepsis-associated encephalopathy.
Alongside research activities, Yukio Imamura has extensive experience in university and professional education. Academic teaching and research engagement are approached as connected parts of scientific practice.
Our current work with AI is rooted in—not separate from—long-standing questions in neuroscience. From the brain's relationship with environment and sensation to translational challenges in medicine, the direction is continuous: to understand complex human systems more fully.
Biological signals
Environment & sensation
Brain function
Exploring the relationship between observable human responses and spatial environments.
Supporting the integration of biomedical evidence across research contexts.
Developing thoughtful tools for hypothesis generation and evidence connection.
Understanding molecular and functional mechanisms of sepsis-associated brain dysfunction and investigating non-invasive therapeutic approaches, including ultrasound vagal nerve stimulation.
Using quantum-dot-based imaging and molecular approaches to investigate alpha-synuclein propagation and experimental models related to Parkinsonian disorders.
Investigating human brain responses to sensory and environmental conditions using physiological measurements including NIRS/fNIRS, with applications to aging and human-centered environments.
Two Architect projects, one shared premise: AI can help researchers design more coherent paths through complex information.
AI-assisted Neuroarchitecture Platform
A research-grounded AI-assisted platform exploring relationships between observable human responses and spatial environments in support of more human-centered design.
Project overview coming soon
AI-assisted Drug Repurposing &
Translational Research Platform
A research support platform for hypothesis generation and evidence integration across disease, approved drugs, biomedical evidence, safety information, and clinical guidelines.
Project overview coming soon
Whether designing environments around human neurobehavioral responses or research hypotheses around biomedical evidence, the work begins with the same question: how might we make complex knowledge more coherent, usable, and human-centered?
A small, verified selection of research across translational neuroscience, neurodegeneration, and human neuroscience. The complete academic record remains available on researchmap.
Yukio Imamura et al.
Frontiers in Neuroscience 17, 1211608
DOI 10.3389/fnins.2023.1211608 ↗Yukio Imamura et al.
Communications Biology 5, 636
DOI 10.1038/s42003-022-03590-8 ↗Junya Kasahara, Yukio Imamura et al.
Neuroscience Research 170, 341–349
DOI 10.1016/j.neures.2020.11.009 ↗Yukio Imamura et al.
Journal of Japan Health Medicine Association 33(2), 194–199
DOI 10.20685/kenkouigaku.33.2_194 ↗For research dialogue, future collaboration, and project inquiries, please get in touch.
imamura.neurospacelab@gmail.com ↗