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

Teaching Classes

Whole Year

Lab Seminar
In our lab, we will learn about basic research on the brain from the viewpoint of neuroimaging methods and analyses, as well as its application to neural information communication, medicine, and welfare (brain engineering). Students will also learn how to investigate the unknown brain functions using data measured by magnetoencephalography (MEG), magnetic resonance imaging (MRI), and electroencephalography (EEG), etc. They will also work on research activities in groups or individually on a theme of their choice. If you would like to attend, please feel free to contact us at brain[at]sfc.keio.ac.jp
プロジェクト 認知・言語の発達と学習(今井むつみ教授と共同担当)
乳幼児が言語を学ぶ様子はスポーツ、科学、音楽などあらゆることの学びについて深い示唆を与えてくれます。このプロジェクトでは、言語の習得を中心に、人の「学び」について認知科学、脳科学の観点から考えていきます。本プロジェクトでは、認知科学、脳科学の実証研究を展開していくために必要な文献、考え方、視線計測や脳波計測、脳イメージングなどの手法とその解析手法について、演習形式で行い、各自が自分の研究のデザインをしていきます。

Spring Semester

Calculus
Differentiation is an important discipline fundamental in predicting changes in physical, mental, and economic phenomena. This course starts with the limits and continuity of functions and organizes the definition of differentiation, methods of calculation, and the increase and decrease of functions, which are taught in high school mathematics. In addition, the course uses these fundamentals as a basis for the Taylor expansion for polynomial approximation of functions, and extends it to the solution of equations including differentiation (differential equations), differentiation of multivariate functions (partial differentiation) and extreme value problems. Finally, we will briefly discuss numerical methods for handling derivatives on computers.

Fall Semester

Neural Information Science
In this lecture, the physical measurement principles, mathematical analysis algorithms, advantages and disadvantages of brain measurement techniques such as EEG, MEG, MRI, and EEG, as well as the methods of neuronal communication by action potentials will be explained, and the knowledge of information processing about visual, auditory, and somatosensory functions, motor functions, and higher brain functions revealed by brain measurements will be explained using actual examples. We will introduce the latest brain information technology such as brain machine/computer interface and brain decoding. In addition, the latest brain information technology such as brain machine/computer interface and brain decoding will be explained.
DIFFERENTIAL CALCULUS (GIGA)
Differential calculus is one of the basic mathematic fields and useful to predict either physical, psychological, or economic phenomenon. In this class, we first study limits of functions, continuous functions, derivatives of functions, and analysis of functions. Then, on the basis of these knowledge, we study polynomial approximation and partial derivatives.