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
The biophysical properties and their mechanisms can be understood.
The generating mechanisms and methods to measure biosignals can be understand.
The methods and theories to extract information from measured biosignals and to apply them in the neural engineering manner
can be understand.
HW assignments (Including preparation and review of the class.)
Amount of Time Required
Information processing in the nervous system
Brain function and its mechanism: sensory system
Brain function and its mechanism: motor system
Brain function and its mechanism: higher-order function
Mechanism, measurement and analysis of biosignals: electromyogram (EMG), electrooculogram (EOG)
Mechanism, measurement and analysis of biosignals: electrocardiogram (ECG)
Mechanism, measurement and analysis of biosignals: electroencephalogram (EEG) and functional blood flow
Measurement of biosignals, practice
Analysis of biosignals, practice
Research review on brain function analysis
Research review on neural engineering
Research review on biomedical engineering
Research review on BCI (brain-computer interface), BMI (brain-machine interface)
Preparation of presentation
Relationship between 'Goals and Objectives' and 'Course Outcomes'
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.
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
12:30-13:10 on every Friday at Room 09B25 at Toyosu Campus. Contact me before coming to office.
Development of social and professional independence
Non-social and professional independence development course
About half of the classes are interactive
Course by professor with work experience
Work experience and relevance to the course content if applicatable
Education related SDGs:the Sustainable Development Goals