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SEMINAR A
Lecturer(s) | AOYAMA, ATSUSHI |
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Credit(s) | 4 |
Academic Year/Semester | 2025 Spring |
Day/Period | Tue.3,4 |
Campus | SFC |
Class Format | Face-to-face classes (conducted mainly in-person) |
Registration Number | 37765 |
Faculty/Graduate School | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
Year Level | 1, 2, 3, 4 |
Field | RESEARCH SEMINARS SEMINARS |
Grade Type | This item will appear when you log in (Keio ID required). |
Related Classes | C2033 脳情報科学/NEURAL INFORMATION SCIENCE C2092 知識処理論/KNOWLEDGE PROCESSING AND DISCOVERY |
Lesson URL | This item will appear when you log in (Keio ID required). |
Location | SFC |
Course Requirements | This item will appear when you log in (Keio ID required). |
Student Screening Courses requiring entry to selection should be registered via SOL-A. *Only students who have a CNS account and who are not students of the Faculty of Policy Studies, Faculty of Environment and Information Studies, Graduate School of Media and Governance, Faculty of Nursing and Medical Care, and Graduate School of Health Management can enter via the system. Please check K-Support News for the details. | This item will appear when you log in (Keio ID required). |
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Expected Number of Acceptances | This item will appear when you log in (Keio ID required). |
Assignment Submission | This item will appear when you log in (Keio ID required). |
Equipment & Software | MATLAB, Python |
Contact(Mail) | This item will appear when you log in (Keio ID required). |
K-Number | FPE-CO-05003-211-51 |
Course Administrator | Faculty/Graduate School | FPE | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
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Department/Major | CO | ||
Main Course Number | Level | 0 | Faculty-wide |
Major Classification | 5 | Research Seminars | |
Minor Classification | 00 | Seminar | |
Subject Type | 3 | Elective subject | |
Supplemental Course Information | Class Classification | 2 | Lecture |
Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
Language of Instruction | 1 | Japanese | |
Academic Discipline | 51 | Brain sciences and related fields |
Course Summary
We promote basic studies about the human brain by measuring and analyzing neural information. Moreover, we aim to advance research towards the realization of future technologies and their applications in fields such as media and health. Recent advances in non-invasive brain measurement techniques enable us to see the human brain objectively. We study how to clarify the brain mechanism by using EEG (electroencephalography), tES (transcranial electrical stimulation), and so on, and promote research to achieve not only good graduation projects but also conference presentations and journal publications.
Course Description/Objectives/Teaching Method/Intended Learning Outcome
We promote basic studies about the human brain by measuring and analyzing neural information. Moreover, we aim to advance research towards the realization of future technologies and their applications in fields such as media and health. Recent advances in non-invasive brain measurement techniques enable us to see the human brain objectively. We study how to clarify the brain mechanism by using EEG (electroencephalography), tES (transcranial electrical stimulation), and so on, and promote research to achieve not only good graduation projects but also conference presentations and journal publications.
In the first half of Kenkyukai, we present papers we have read or report on research progress. In the second half, we engage in group discussions or conduct workshops. We have a project system based on individual and group studies. Specifically, we conduct research on topics such as understanding sensory, perceptual, and cognitive functions, sensory integration, decoding and controlling brain information, and collaborating between brain information processing and AI. For more information, please visit http://brain.sfc.keio.ac.jp/">our laboratory website and http://sface.sfc.keio.ac.jp/023-atsushi-aoyama.html">the S-face.
In the first half of Kenkyukai, we present papers we have read or report on research progress. In the second half, we engage in group discussions or conduct workshops. We have a project system based on individual and group studies. Specifically, we conduct research on topics such as understanding sensory, perceptual, and cognitive functions, sensory integration, decoding and controlling brain information, and collaborating between brain information processing and AI. For more information, please visit http://brain.sfc.keio.ac.jp/">our laboratory website and http://sface.sfc.keio.ac.jp/023-atsushi-aoyama.html">the S-face.
Research Seminar Theme
Measurement and analysis of neural information
Project Theme (next semester)
Measurement and analysis of neural information
Active Learning MethodsDescription
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Preparatory Study
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Course Plan
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Textbooks
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Reference Books
Mike X Cohen. Analyzing Neural Time Series Data: Theory and Practice. The MIT Press, 2014, 600p. ISBN: 978-0-262-02784-7
Eric R Kandel, John D Koester, Sarah H Mack. Principles of Neural Science, Sixth Edition. McGraw Hill / Medical, 2021, 1696p. ISBN: 978-1-259-64223-4
Mark Lutz, Learning Python. Oreilly & Associates Inc, 2013, 1540p. ISBN: 978-0-596-15806-4
Eric R Kandel, John D Koester, Sarah H Mack. Principles of Neural Science, Sixth Edition. McGraw Hill / Medical, 2021, 1696p. ISBN: 978-1-259-64223-4
Mark Lutz, Learning Python. Oreilly & Associates Inc, 2013, 1540p. ISBN: 978-0-596-15806-4
Lecturer's Comments to Students
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