Atsushi Aoyama Laboratory, Faculty of Environment and Information Studies, Keio University

For Students

About Our Lab

In our laboratory, we conduct research activities in groups and individually based on self-designed brain measurement experiments. We use non-invasive methods such as magnetoencephalography (MEG) and magnetic resonance imaging (MRI) to measure brain activity. Since neuroscience is an interdisciplinary field and therefore requires a variety of background knowledge, we provide an in-depth study of the mechanisms of the brain as well as related fields such as engineering, physiology, psychology, and computational theory. If you want to study brain function measurement, brain information analysis, and biological signal processing, this is the laboratory for you.

For details, please visit this page and S-face interview.

In the first half of our seminar meeting, students present papers and book chapters, and in the second half, we give lectures on measurement and analysis methods of brain information, create and analyze sensory stimuli to be used in experiments, discuss group research, and present the progress of the group and individual researches. Please feel free to contact us if you would like to attend the seminar (brain[at]sfc.keio.ac.jp).

Our Environment

In our laboratory, we are able to use the most advanced brain measurement devices. For example, we use magnetoencephalography (MEG) and magnetic resonance imaging (MRI) at an external institution (e.g., Chiba Research Center, Tokyo Denki University, where the faculty member in charge was the MEG maintenance supervisor). It is a great privilege to have access to these facilities as an undergraduate student.

For Applicants

We accept students from other universities, other departments and other laboratories at any time. If you are interested in brain research, please feel free to contact us (brain[at]sfc.keio.ac.jp) if you are thinking of continuing your studies or have any questions.

To Prospective New Students

Our laboratory is always accepting new students who wish to enroll. If you are interested in brain research and our laboratory, please feel free to contact us (brain[at]sfc.keio.ac.jp).

Preparation for Research Seminar Enrollment

Those who wish to enroll in the research seminar, please complete the following before enrollment.

  1. Thorough reading of "Introduction to EEG Analysis"
  2. Installation of various software
      3. Please install the following software:
      • MATLAB(2020b) (with add-ons: Simulink, Bioinformatics Toolbox, Fixed-Point Designer, Parallel Computing Toolbox, Signal Processing Toolbox, Statistics and Machine Learning Toolbox) Keio University has already acquired licenses; obtain from keio.jp → Services → Software License Acquisition System → matlab
      • (Somewhat advanced content) EEGLAB - Please refer to "Introduction to EEG Analysis" for detailed installation methods.
      • (Somewhat advanced content) MNE python
  3. Completion of Research Ethics and Compliance Education e-Learning
      Please complete the Research Ethics and Compliance Education e-Learning.
      • Select "Account application for Research ethics e-learning" from "Research" in the "Apps" section of K-Support, and take the Keio University Researcher Course in the "APRIN e-Learning Program" (the "Science and Engineering" course is recommended), and please send the certificate of completion (pdf) by email.

References

The following materials are useful references for beginners learning about the brain and conducting research. Please refer to them as needed.

  • Eric R. Kandel (Author), John D. Koester (Author), Sarah H. Mack (Author), Steven A. Siegelbaum (Author). Principles of Neural Science, Sixth Edition. McGraw Hill / Medical, 2021, 1696p.
  • Yasutsugu Miyashita (Supervisor), Eric R. Kandel (Author), John D. Koester (Author), Sarah H. Mack (Author), Steven A. Siegelbaum (Author). Kandel's Principles of Neural Science, 2nd Edition. Medical Science International, 2022, 1700p.
  • Mark F. Bear (Author), Barry W. Connors (Author), Michael A. Paradiso (Author), Satoshi Fujii (Supervisor, Translator). Color Edition Bear, Connors, Paradiso Neuroscience: Exploring the Brain, Revised Edition. Nishimura Shoten, 2021, 788p.
  • Neil R. Carlson (Author), Melissa A. Birkett (Author), Katsuki Nakamura (Supervisor, Translator). Carlson's Physiology of Behavior - Brain and Behavior - Original 13th Edition. Maruzen Publishing, 2022, 777p.
  • Mike X Cohen (Author). Analyzing Neural Time Series Data: Theory and Practice. The MIT Press, 2014, 600p.
  • Kazuo Hiraki (Editor), Noriaki Kanayama (Editor), Takanori Kochiyama (Author), Atsushi Matsumoto (Author), Makoto Miyakoshi (Author). Introduction to EEG Analysis Windows 10 Compatible Edition: Mastering EEGLAB and SPM. University of Tokyo Press, 2020, 224p.
  • Satoru Miyauchi (Author), Shoko Hoshi (Author), Iwao Kanno (Author), Shinya Kuriki (Author), Hironobu Tokuno (Editor). Brain Imaging. 2016, 256p. (Brain Science Lecture 3).
  • Tsunehiro Takeda (Author), The Institute of Electronics, Information and Communication Engineers (Editor). Brain Engineering. Corona Publishing, 2003, 220p. (Electronics and Information Communication Lecture Series, D-24)
  • Hiroshi Harashima. Brain Tan. NTS, 2005, 162p.
  • Mark Lutz (Author). Learning Python. Oreilly & Associates Inc, 2013, 1540p.
  • Nobukatsu Takai (Author). Introduction to MATLAB. Kogakusha, 2002, 215p.