シラバス参照

講義概要/Course Information
2020/04/28 現在

科目基礎情報/General Information
授業科目名
/Course title (Japanese)
Topics in Mechanical and Intelligent Systems Engineering Ⅱ(The human brain as intelligent machines)(学域)
英文授業科目名
/Course title (English)
Topics in Mechanical and Intelligent Systems Engineering Ⅱ(The human brain as intelligent machines)
科目番号
/Code
INT003h INT003i INT003j
開講年度
/Academic year
2020年度 開講年次
/Year offered
3/4
開講学期
/Semester(s) offered
後学期 開講コース・課程
/Faculty offering the course
情報理工学域
授業の方法
/Teaching method
講義 単位数
/Credits
2
科目区分
/Category
専門科目
開講学科・専攻
/Cluster/Department
Ⅱ類/Ⅲ類
担当教員名
/Lecturer(s)
宮脇 陽一
居室
/Office
東4-620
公開E-Mail
/e-mail
yoichi.miyawaki@uec.ac.jp
授業関連Webページ
/Course website
None
更新日
/Last updated
2020/03/17 21:54:19 更新状況
/Update status
公開中
/now open to public
講義情報/Course Description
主題および
達成目標
/Topic and goals
The human brain is considered as one of the most intelligent "machines." In this lecture, we explore how the human brain is receiving, processing, and producing signals that are used to sense, perceive, feel, and make actions. In particular, we will focus on the visual information processing systems in the human brain (the visual cortex) and learn how the visual cortex works from the basic viewpoints. We would also focus on methodological aspects of analysis of the human brain function, particularly on the topics of non-invasive signal acquisition of human brain activity using electroenchephalography (EEG), magnetoenchephalography (MEG), and functional magnetic resonance imaging (fMRI), together with computational analysis of these signals and computational modeling of neural signal processing. We might refer and ask students to read and introduce (in the form of presentation) the recent literature to achieve the goal.
前もって履修
しておくべき科目
/Prerequisites
None
前もって履修しておくこ
とが望ましい科目
/Recommended prerequisites and preparation
None
教科書等
/Course textbooks and materials
None, but the following textbook might help students to understand the topics:
[1] Jeremy M. Wolfe, Keith R. Kluender, Dennis M. Levi, Linda M. Bartoshuk, Rachel S. Herz, Roberta L. Klatzky and Daniel M. Merfeld, "Sensation & Perception (5th edition)," Sinauer Associates (2017)
[2] Peter Dayan and Laurence F. Abbott, "Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems," The MIT Press (2005)
[3]  Scott A. Huettel, Allen W. Song, Gregory McCarthy, "Functional Magnetic Resonance Imaging," Sinauer Associates (2008)
授業内容と
その進め方
/Course outline and weekly schedule
The following contents may vary depending on progress of students:

[1] Introduction
[2] Basics of our visual perception
[3] Evaluation of our subjective sensation/perception (1): metrics
[4] Evaluation of our subjective sensation/perception (2): psychophysical procedures
[5] Exercise of psychophysical experiment (1): survey of visual illusions
[6] Exercise of psychophysical experiment (2): introduction of Psychtoolbox and/or PsychoPy
[7] Exercise of psychophysical experiment (3): performing test experiments
[8] Student presentation of psychophysical experiment
[9] Basics of the human brain
[10] Basics of the visual cortex
[11] Basics of neural signal acquisition: invasive method
[12] Basics of neural signal acquisition: non-invasive method
[13] Basics of neural information encoding and decoding
[14] Overview of recent topics about visual information representation in the neural systems
[15] Student presentation about recent topics in visual information representation in the neural systems
実務経験を活かした
授業内容
(実務経験内容も含む)
/Course content utilizing practical experience
授業時間外の学習
(予習・復習等)
/Preparation and review outside class
None, but maybe preferable to get used to computer programming using matlab and/or python
成績評価方法
および評価基準
(最低達成基準を含む)
/Evaluation and grading
Report(s) will be requirements on the topics mentioned above. Presentation(s) will be evaluated if they are assigned in the course.
オフィスアワー:
授業相談
/Office hours
14:40 - 16:10, every Thursday. An e-mail contact prior to your visit is preferable.
学生へのメッセージ
/Message for students
Active contribution for the course will enhance your understanding. Explore the attractiveness of this field by yourself, too.
その他
/Others
None
キーワード
/Keyword(s)
human brain, neural information processing, brain activity measurement, neuroscience, visual perception, visual illusion, computer graphics, visual psychophysics