Course title
1M989500,7M6100001
Advanced Neural Engineering

 KANOH Shinichiro Click to show questionnaire result at 2019
Purpose of class
Participants can understand the functions and mechanisms of the nervous system, and they can be used to help human living.
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.
Goals and objectives
  1. Students can explain the biophysical properties and their mechanisms. (Diploma policy (1, 2, 3))
  2. Students can explain the generating mechanisms and methods to measure biosignals. (Diploma policy (1, 2, 3))
  3. Students can explain the methods and theories to extract information from measured biosignals and to apply them in the neural engineering manner. (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% -
Language
English
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1． Introduction Brush up 200minutes
2． Information processing in the nervous system (nervous devices and circuits) Brush up 200minutes
3． Information processing in the nervous system (the five senses, Part 1) Brush up 200minutes
4． Information processing in the nervous system (the five senses, Part 2) Brush up 200minutes
5． What is neural engineering? Brush up 200minutes
6． Measurement of biosignals (Part 1) Brush up 200minutes
7． Measurement of biosignals (Part 2) Brush up 200minutes
8． Measurement of biosignals (Part 3) Brush up 200minutes
9． Analysis of biosignals (Part 1) Brush up 200minutes
10． Analysis of biosinals (Part 2) Brush up 200minutes
11． Analysis of biosignals (Part 3) Brush up 200minutes
12． Introduction of BCI (brain-computer interface) (Part 1) Brush up 200minutes
13． Introduction of BCI (brain-computer interface) (Part 2) Brush up 200minutes
14． Summary Brush up 200minutes
Total. - - 2800minutes
Evaluation method and criteria
Assignments (50%) and research reports (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.
Prerequisites
Scientific calculation software MATLAB will be used in part of the lecture. Programming skill on MATLAB (or other equivalent programming language) is required to take this lecture.
Office hours and How to contact professors for questions
  • During or after each class at classroom.
  • Office hour: 12:30-13:20 on every Friday at Room 09B25 in Toyosu Campus. Contact me before coming to office.
Regionally-oriented
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
  • 3.GOOD HEALTH AND WELL-BEING
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Mon Mar 16 04:02:16 JST 2026