2019 Laboratory Training on Human Brain Functions and Their Measurements

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Academic unit or major
Graduate major in Human Centered Science and Biomedical Engineering
Instructor(s)
Yoshida Takako  Akama Hiroyuki  Kaneko Hirohiko  Yoshimura Natsue 
Course component(s)
Lecture /
Day/Period(Room No.)
Thr5-7(南4号館 情報ネットワーク演習室第2演習室)  
Group
-
Course number
HCB.M461
Credits
1
Academic year
2019
Offered quarter
1Q
Syllabus updated
2019/4/2
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

Robust, quantitative, psychophysical assessment on the relationship between the physical environment and subjective experience is one of the core skills not only for understanding the human brain functions but also optimizing the machine usability, design, interface, etc. This is the laboratory training course focused on the measurement of the basic eight different brain functions. Each weeks, students run one particular experiment to measure their own subjective experience or behavior, such as attention, walking, eye movement, etc. Then they run the statistical data analysis for the results by themselves. They should hand out a written assignment to show their measurement procedure and to discuss their own result based on the state of the art brain science.

Student learning outcomes

By the end of this course,
1. Students will be able to understand and experience basic eight different subjective experiences and behaviors in the brain science by one's own brain and body.
2. Students will be able to understand the methods, theories, accuracy, and limitations to measure human subjective experience in subjective, quantitative ways.
3. Students will be able to practice the statistics, experimental designs, and filter processing required for the basic data analysis.
4. Students will be able to obtain the basic brain science knowledge to explain the result, and can apply for some user experience measurement on artificial systems, such as virtual reality systems, information devices, lighting systems, medical devices, etc.

Keywords

Brain science, psychophysics, motion capture, eye movement, semantic differential method, Kansei assessment, reversed prism adaptation, EEG, fMRI

Competencies that will be developed

Intercultural skills Communication skills Specialist skills Critical thinking skills Practical and/or problem-solving skills
- -

Class flow

Each weeks, students run one particular experiment to measure their own subjective experience or behavior, such as attention, walking, eye movement, etc. Then they run the statistical data analysis for the results by themselves. They should hand out a written assignment to show their measurement procedure and to discuss their own result based on the state of the art brain science.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Processing and analysis of brain images. (Semantic differential method and multivariate analyses) By the end of this course, students will be able to understand the analysis of brain images.
Class 2 Processing and analysis of brain images. (Statistical Parametric Mapping I) By the end of this course, students will be able to understand the analysis of brain images.
Class 3 Processing and analysis of brain images. (Statistical Parametric Mapping II) By the end of this course, students will be able to understand the analysis of brain images.
Class 4 Eye movement recording By the end of this course, students will be able to understand the visualization of the eye movement.
Class 5 Inversed prism adoptation. -Brain plastisity- By the end of this course, students will be able to understand the relationship between body movement, feedbacks, and brain plasticity.
Class 6 Visual search and visual attention By the end of this course, students will be able to understand the difference between eye movement and visual attention.
Class 7 Psychophysics methods By the end of this course, students will be able to understand the psychophysics method.
Class 8 EEG and surface electromyogram recording By the end of this course, students will be able to understand the EEG and electromyogram.

Textbook(s)

N/A

Reference books, course materials, etc.

Handouts.

Assessment criteria and methods

Contribution to the class and assignments given in individual classes.

Related courses

  • LST.A410 : Advanced Neuroscience
  • LAH.T309 : Linguistics C
  • MEC.H231 : Design Engineering
  • MEC.L331 : Basic Bioengineering
  • MEC.L431 : Human Brain Functions and Their Measurements
  • ICT.H313 : Sensation and Perception Systems
  • SCE.I531 : Computer Vision
  • ICT.H411 : Basic Sensation Informatics
  • ICT.H514 : Mechanisms of Visual Perception
  • LAT.A405 : Cognitive Psychology

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Basic knowledge on the cognitive science, human perception, and statistics essential.

Office hours

N/A

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