Keio University Syllabus and Timetable

SEMINAR A

Lecturer(s)AOYAMA, ATSUSHI
Credit(s)4
Academic Year/Semester2025 Spring
Day/PeriodTue.3,4
CampusSFC
Class FormatFace-to-face classes (conducted mainly in-person)
Registration Number37765
Faculty/Graduate SchoolPOLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Year Level1, 2, 3, 4
FieldRESEARCH SEMINARS SEMINARS
Grade TypeThis item will appear when you log in (Keio ID required).
Related ClassesC2033 脳情報科学/NEURAL INFORMATION SCIENCE
C2092 知識処理論/KNOWLEDGE PROCESSING AND DISCOVERY
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LocationSFC
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Equipment & SoftwareMATLAB, Python
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K-Number FPE-CO-05003-211-51
Course AdministratorFaculty/Graduate SchoolFPEPOLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Department/MajorCO
Main Course NumberLevel0Faculty-wide
Major Classification5Research Seminars
Minor Classification00Seminar
Subject Type3Elective subject
Supplemental Course InformationClass Classification2Lecture
Class Format1Face-to-face classes (conducted mainly in-person)
Language of Instruction1Japanese
Academic Discipline51Brain 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.

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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Method of Evaluation

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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

Lecturer's Comments to Students

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