Teaching Classes

Whole Year

Seminar A
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.
Special Research Project B
Research Seminar Theme: Measurement and analysis of neural information. A recent advance in noninvasive brain measurement techniques has enabled us to see human brain functions. In kenkyukai, we have learned these techniques as well as analysis methods, but less attempts have been made to survey background studies and summarize the knowledge. Therefore, we will prepare for the project by surveying neural information studies and by submitting the survey content as a preliminary assignment. In this project, we will first survey neural information studies for summarization. Then, we will summarize the survey content and present it each other. Finally, we will share and structuralize the summarized content, and upload it on the web as a final assignment.

Spring Semester

Calculus [DS1]
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.

Fall Semester

Neural Information Science
A recent advance in brain measurement and analysis techniques has enabled to read human brain information non-invasively, to uncover brain functions, and to link a brain and a machine/computer. In this class, we will study neural mechanisms of information transmission by action potentials and brain measurement techniques (physical principles, advantages and disadvantages, analysis algorithms) such as EEG, MEG, and MRI. Furthermore, we will focus on recent technologies such as brain machine/computer interfaces and brain decoding.
Knowledge Processing Theory
Recent advance in brain science has revealed some mechanisms of knowledge processing in the human brain. We study the knowledge processing about how the visual and auditory systems acquire and process knowledge derived from the external environment, how the memory system retains such knowledge, how the multimodal knowledge processing is achieved, and so on, from a neuroscience point of view. In parallel, they learn anatomical brain structures and pathways, and experience peripheral and central illusions to understand knowledge processing phenomenologically.