Course title
Advanced Neural Engineering

KANOH Shinichiro Click to show questionnaire result at 2019
Course content
Neural engineering is to understand the mechanisms of neural information processing and to apply their powerful and precise capabilities to our daily life for improving the quality of life. In this lecture, (1) functions and mechanisms of the neural information processing, and (2) methodologies to measure and analyze the biosignals came from nervous system and to apply them in a neural engineering manner, are studied.
Purpose of class
Participants can understand the functions and mechanisms of the nervous system, and they can be used to help human living.
Goals and objectives
  1. The biophysical properties and their mechanisms can be understood. (Diploma policy (1, 2, 3))
  2. The generating mechanisms and methods to measure biosignals can be understand. (Diploma policy (1, 2, 3))
  3. The methods and theories to extract information from measured biosignals and to apply them in the neural engineering manner can be understand. (Diploma policy (1, 2, 3, 4))
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Overall Total.
1. 30% 30%
2. 30% 30%
3. 40% 40%
Total. 100% -
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Information processing in the nervous system Brush up 200minutes
2. Brain function and its mechanism: sensory system Brush up 200minutes
3. Brain function and its mechanism: motor system Brush up 200minutes
4. Brain function and its mechanism: higher-order function Brush up 200minutes
5. Mechanism, measurement and analysis of biosignals: electromyogram (EMG), electrooculogram (EOG) Brush up 200minutes
6. Mechanism, measurement and analysis of biosignals: electrocardiogram (ECG) Brush up 200minutes
7. Mechanism, measurement and analysis of biosignals: electroencephalogram (EEG) and functional blood flow Brush up 200minutes
8. Measurement of biosignals, practice Report preparation 200minutes
9. Analysis of biosignals, practice Report preparation 200minutes
10. Research review on brain function analysis Research review 200minutes
11. Research review on neural engineering Research review 200minutes
12. Research review on biomedical engineering Research review 200minutes
13. Research review on BCI (brain-computer interface), BMI (brain-machine interface) Research review 200minutes
14. Presentation Preparation of presentation 200minutes
Total. - - 2800minutes
Evaluation method and criteria
Research reports (50%) and research presentations (50%) will be evaluated. The 60% is equivalent to the presentation and the report which meet the requirements shown when the topics are noticed.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
Materials and references will be prepared if required.
Scientific calculation software MATLAB will be used in part of the lecture. Programming skills on MATLAB (or other equivalent programming language) will be required to take this lecture.
Office hours and How to contact professors for questions
  • During or after each class at classroom.
  • E-mail can be used to ask questions. If you like to ask question online, use E-mail. Zoom meeting will be used if necessary.
  • Office hour: 12:30-13:20 on every Friday at Room 09B25 in Toyosu Campus. Contact me before coming to office.
Non-regionally-oriented course
Development of social and professional independence
  • Non-social and professional independence development course
Active-learning course
About half of the classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Applicable Experiences of joint research and development with companies will be applied.
Education related SDGs:the Sustainable Development Goals
Last modified : Fri Mar 08 04:09:22 JST 2024