Lecture course at UTokyo offered in S1/S2 2018/2019
BRAIN AND BEHAVIORAL MEASUREMENT FOR PSYCHOLOGICAL EXPERIMENT
Course offered by Faculty of Education Integrated Educational Sciences Developmental Sciences, The University of Tokyo
- Details:
- S1/S2・Period 5・16:30~18:35・教育学部棟・159講義室 (Faculty of Education Building, Lecture Room #159)・April 9 ~ July 23, 2018
- The experimental lecture series will be given by Dr. Rutkowski who is a research scientist in an AI startup Cogent Labs Inc. in Tokyo. He also serves as a research fellow at The University of Tokyo. The lecture course objective will introduce behavioral and brain-science-related experimental designs and result analysis techniques. Each of the class will have several hands-on practical examples for students to practically learn or design and execute own small experimental paradigms. Results analysis techniques will be also overviewed using state-of-the-art analytical methods. Final classes will overview current hot and more futuristic experimental problems including AI as well as intelligence augmentation methods.
- Keywords:
- experiment design
- brainwave
- EEG
- behavioral experiment
- experimental data analysis
- Schedule/syllabus:
- Introduction, lecture series target, content details and explanation of simple programing tools to be used during lectures
- Open/free textbook: "Research Methods in Psychology"
- Lecture slides: PDF
- Open source software used in class experiments:
- OpenVibe - http://openvibe.inria.fr/
- Experimental tools design and measurement of behavioral responses (capturing audio, video, body movement and peripheral physiological signals such as EMG/EOG/etc.) - hands-on experimental examples included.
- Open access = free BCI review journal paper:
- Rutkowski T. Robotic and Virtual Reality BCIs Using Spatial Tactile and Auditory Oddball Paradigms. Frontiers in Neurorobotics. 2016;10:20. Available from: [link].
- Open/free textbooks:
- Zander T. Did you know...? Brain Products, Version (Leaflet) V001/2012. Available from [link]
- Lecture slides: PDF
- Open source software used in class experiments:
- OpenVibe - http://openvibe.inria.fr/
- Python - https://www.python.org/
- JupyterLab - https://github.com/jupyterlab/jupyterlab
- Commercial software with a free trial period:
- MAX - https://cycling74.com/
- Open access = free BCI review journal paper:
- Introduction to experimental computational neuroscience and brainwave measurement methods (EEG/PET/fMRI/etc.) - hands-on experimental examples included.
- Lecture slides: PDF
- Experiment theory.
- Experimental stimulus setup (visual, auditory, tactile, etc.) and simple visual programming examples (MAX environment, etc.) - hands-on experimental examples included.
- Lecture slides: PDF
- Free course on KADANZE introducing Programming in MAX [link]
- Experimental recording setup (behavioral and computational neuroscience methods) for successful results - hands-on experimental examples included.
- EEG hands on session in small groups (simple brainwave recording design and execution in order to understand proper signal capturing problems) - a fully hands-on lecture.
- Introduction to behavioral data analysis tools and methods (audio, video, EOG, EMG, etc.).
- Introduction to brainwave data analysis tools and methods (EEG).
- Own experiment design in small groups (stimulus and data recording procedures) - a fully hands-on lecture.
- Future methods of experimental research using AI and deep-learning tool.
- Closed loop neurotechnology and “digital-phrama” methods for experiments.
- Brain-computer interfacing in psychological experimental setup.
- Lecture summary and student own/requested experiments - a hands-on session.
- Final quiz and Q&A session.
- Introduction, lecture series target, content details and explanation of simple programing tools to be used during lectures
- Teaching Methods:
- Lecture
- Simple programming and setup hands-on experimentation in the class with provided equipment as well as executed by the students
- Simple brainwave (EEG) recording experiments and results analysis by the students
- Grade Evaluation:
- Attendance = 30%
- Class quizzes = 20%
- Experimental exercises = 20%
- Final quiz = 30%
- Textbooks:
- Cunningham DW, Wallraven C. Experimental design: From user studies to psychophysics. CRC Press; 2011 Nov 17.
- Wolpaw J, Wolpaw EW, editors. Brain-computer interfaces: principles and practice. OUP USA; 2012 Jan 24.
- References:
- Rutkowski T. Robotic and Virtual Reality BCIs Using Spatial Tactile and Auditory Oddball Paradigms. Frontiers in Neurorobotics. 2016;10:20.
- Rutkowski TM. Student Teaching and Research Laboratory Focusing on Brain–computer Interface Paradigms – A Creative Environment for Computer Science Students –. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE Engineering in Medicine and Biology Society. IEEE Press; 2015. p. 3667-3670.
- Huggins JE, Guger C, Allison B, Anderson CW, Batista A, Brouwer AM, et al. Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future. Brain-Computer Interfaces. 2014;1(1):27-49.