Teaching
Brain Measurement Science I & II
This course introduces the fundamentals of scientific research methods through behavioral and brain-function studies related to human language processing.
Syllabus
| Session | Topic | Materials |
|---|---|---|
| 1 | Introduction to brain measurement science: scientific approaches, research notes, and research ethics | None |
| 2 | Creating behavioral experiments with JavaScript: presenting text, images, audio, and video | Introduction to jsPsych 8.3.0 |
| 3 | Creating behavioral experiments with JavaScript: building practical cognitive tasks | Introduction to jsPsych 8.3.0 |
| 4 | Conducting behavioral experiments with JavaScript | None |
| 5 | Analyzing behavioral data with MATLAB: loops and conditionals | None |
| 6 | Analyzing behavioral data with MATLAB: t-tests and ANOVA | None |
| 7 | Student presentations | None |
| 8–10 | EEG measurement | None |
| 11–13 | EEG data analysis using analysis toolboxes and scripts | None |
| 14 | Student presentations | None |
| 15 | Course review | None |
Brain Measurement Science III & IV
Students learn research skills through projects involving behavioral research and brain-function measurements. Topics include literature searches with PubMed, eye tracking, questionnaires, web surveys, EEG and fNIRS equipment, data analysis with MATLAB and Excel, critical evaluation of results, oral presentations, and academic writing. Group work develops collaborative problem-solving skills.
Syllabus
| Session | Topic |
|---|---|
| 1 | Introduction to brain measurement science |
| 2–3 | Developing research topics in groups; fNIRS measurement |
| 4–5 | Literature review, discussion, and fNIRS measurement |
| 6–7 | Planning data collection, creating tasks and stimuli, and fNIRS analysis |
| 8–9 | Preliminary data collection |
| 10–11 | Basic data analysis and reassessing task validity |
| 12–13 | Main data collection |
| 14 | Data analysis |
| 15 | Presentations and course review |