教員一覧 List of faculty members
SATO Naoyuki 教授
SATO, Naoyuki Professor
SATO Naoyuki Professor
SATO NaoyukiBelongs:
Department of Complex and Intelligent Systems; Complex Systems Information Science
Field of Study
Brain science, computational neuroscience, brain measurementPrevious employment/history
RIKENSubjects in charge (undergraduate)
Introduction to Data Science, Information Mathematics, Bioinformatics, Brain ScienceSubjects taught (Graduate School)
Advanced Topics in Data ScienceBachelor of Science
Doctor (Engineering)
SATO, Naoyuki Professor
Affiliation：
Department of Complex and Intelligent Systems、 Complex System Information Science Field
Research Fields
Brain science, Computational Neuroscience, Brain imagingAcademic Background
Department of Electrical and Communication Engineering, Faculty of Engineering, Tohoku UniversitySubjects in Charge (Undergraduate)
Introduction to Data Science，Information Mathematics，Bioinformatics，Brain ScienceSubjects in Charge (Graduate School)
Advanced Topics in Data ScienceDegree
Ph.D (Eng)Related Links
Research Projects
Humans can take appropriate actions in real time even in new environments. This brain function is thought to be due to the flexible and coordinated working of functionally distributed local modules in response to the situation. I am focusing on the "synchronization phenomenon of neural activity" as the neural basis for this, and I am conducting research that combines mathematical models with brain measurement experiments. Research keywords of interest: vision, spatial cognition, memory, episodic memory, neural synchronization activity, mathematical models, theory-experimental fusion analysis, electroencephalography, eye movements, perceptual-motor cycles, communication, emergence, etc.
The appeal of research
Understanding how the brain works is crucial for understanding human beings. Brain science is a vast and largely unknown field, and new research approaches are needed to gain a fundamental understanding of the brain.
Achievements
- Understanding the neural mechanisms of cognitive maps related to autonomously moving objects (Academic Transformation A, 2024-2026)
- Development of electroencephalogram (EEG) indices to measure text comprehension (Grant-in-Aid for Scientific Research (C), 2021-2024)
- Investigation of neural representation transformation mechanisms based on information circuit analysis of cortical electroencephalography (New Academic Fields, 2018-2020)
- Elucidating the global brain circuit dynamics in memory recall (Challenging Exploratory Research, 2016-2019)
- Estimation of information circuits using electroencephalogram coherence (New Academic Fields, 2016-2018)
- Construction and validation of a neural circuit model of memory using co-occurrence word networks (New Academic Area, 2014-2016)
Major publications and papers
- Sato, N. (2022). Cortical traveling waves reflect state-dependent hierarchical sequencing of local regions in the human connectome network. Sci Rep, 12(1). https://doi.org/10.1038/s41598-021-04169-9
- Sato, N., Matsumoto, R., Shimotake, A., Matsuhashi, M., Otani, M., Kikuchi, T., Kunieda, T., Mizuhara, H., Miyamoto, S., Takahashi, R., & Ikeda, A. (2021). Frequency-Dependent Cortical Interactions during Semantic Processing: An Electrocorticogram Cross-spectrum Analysis Using a Semantic Space Model. Cereb Cortex, 31(9), 4329-4339. https://doi.org/10.1093/cercor/bhab089
- Sato, N, Mizuhara H (2018) Successful encoding during natural reading is associated with fixation-related potentials and large-scale network deactivation. eNeuro 5(5), ENEURO.0122-18.
- Sato, N. (2018) Words-in-sequence memory formed by eye movement sequences during reading: A network model based on theta phase coding. Neural Processing Letters 47(3) 1027-1039.
- SATO, Naoyuki (2017) Construction of a neural circuit model of the human hippocampus. Journal of the Japanese Society for Artificial Intelligence, 32(6) 851-856.
Research Contents
Brain can create reasonable behavior in real time in indefinite environment. Such brain function is implemented by autonomous cooperative process in distributed functional module. I am focusing on the synchronization dynamics of neuronal elements that integrate multiple processes in the distributed network. I developed a constructive approach combining computational modeling and brain imaging. Keywords of my interests are Vision, Spatial cognition, Memory, Episodic memory, Neural synchronization, Computational modeling, Theory-experiment combined analysis, Electroencephalogram, Eye movement, Action-perception cycle, Communication, Creativity etc.
Attractive Factors of My Research
Understanding the brain mechanism is essential for understanding humans; Brian forms our activities, such as perception, memory, action, language, communication, etc. There are huge research fields to be investigated. It is possible to choose/ construct the essential approach for uncovering the brain function.
Achievements
- Computational model of spatial imaginary (Kiban-S project, Principal investigator: Inui T (Kotyo Univ), 2009-2013).
- EEG-fMRI simultaneous measurement (RIKEN BSI and Ogawa Lab. in Hamano Life Sci Res Found project,2005-2008)
- Computational model of hippocampal network (CREST project by Yamaguchi Y (RIKEN BSI), 2001-2004)
Major Books and Papers
- Sato, N, Mizuhara H (2018) Successful encoding during natural reading is associated with fixation-related potentials and large-scale network deactivation. eNeuro 5(5), ENEURO.0122-18.
- Sato, N. (2018) Words-in-sequence memory formed by eye movement sequences during reading: A network model based on theta phase coding. Neural Processing Letters 47(3) 1027-1039.
- Sato, N (2014) Spatial consistency of neural firing regulates long-range local field potential synchronization: a computational study. Neural Networks, 62: 52-61.
Research seeds related to this faculty member
EEG measurement and analysis under head-free conditions
field of study:
Data science Cognitive psychology Brain sciencekeyword:
# Brain signal analysisBuilding a digital brain using brainwave propagation.
field of study:
Mathematical Modeling Data science Cognitive Science Cognitive psychology Brain sciencekeyword:
# Neural synchronization activity # Data-driven analysisNEWS
Latest news related to "SATO Naoyuki"
Discovery of a mechanism for selective information propagation based on traveling electrocortical waves
We held an experiential event for local high school students called Welcome Campus.
The results developed through the project-based learning program "Mirai no Safari" were showcased at Fuji Safari Park.
Students from our university exhibited the results of their "Mirai no Safari" project at Fuji Safari Park.
Students from our university held an interactive exhibition at Akagawa Mishima Shrine with the theme "Safari of the Future".
We discovered that the traveling electroencephalogram waves in the cerebral cortex are useful for integrating information in the brain.
First detection of a cortical electroencephalogram network involved in the semantic processing of objects.
