課程大綱

課程資訊

課程名稱

大腦事件誘發電位資料收集與分析導論
Introduction to Event-Related Potential (ERP) data collection and analysis

開課學期

101-2

授課對象

文學院語言學研究所

授課教師

李佳霖

課號

LING7428

課程識別碼

142 M1160

班次

學分

全/半年

半年

必/選修

選修

上課時間

星期二2,3,4,@(9:10~)

上課地點

樂學館305

備註

本課程中文授課,使用英文教科書。9:30至12:30上課。
總人數上限：12人
外系人數限制：5人

Ceiba 課程網頁

http://ceiba.ntu.edu.tw/1012ERPlab

課程簡介影片

核心能力關聯

核心能力與課程規劃關聯圖

課程大綱

為確保您我的權利,請尊重智慧財產權及不得非法影印

課程概述

This course aims to provide fundamentals about ERP research and hands-on experience of data-collection and data analysis for beginner students. This course will be a mix of lectures, substantial laboratory sessions, individual consultations, structured discussions and classroom presentations.

課程目標

This course aims to give students:
§ a basic level of competence with the technical and theoretical aspects of electrophysiological recordings
§ hands-on experience of running an ERP experiment
§ abilities to conduct basic pre-processing and visualization of ERP data
§ practices with summarizing, presenting, and drawing inferences from the data

課程要求

Students will be required to collect ERP data from peers in the class using a well-established ERP paradigm, analyze the data, and present the analysis result at the end of the semester.

預期每週課後學習時數

Office Hours

另約時間備註： By appointment.

指定閱讀

Journal articles and chapters from
Luck, S. J. (2005). An Introduction to the Event-Related Potential Technique (1st ed.) A Bradford Book.

參考書目

Handy, T. C. (2005). Event-Related Potentials: A Methods Handbook. MIT Press.

評量方式
(僅供參考)

No.	項目	百分比	說明
1.	Mid-term exam	30%	A mid-term exam will be given covering the lectures in the first half of the semester.
2.	Final exam	30%	Students will be asked to analyze a fake set of data using set parameters for this exam.
3.	In-class quiz	15%	For lectures, a short quiz about the previous lecture will be given in the beginning of next class.
4.	homework	15%	Following each lab sessions, students will be asked to practice the analysis, and submit the analysis before the beginning of next class.
5.	Class participation	10%

課程進度

週次	日期	單元主題
第1週	2/19	Overview.
第2週	2/26	Lecture: An Introduction to Event-Related Potentials and Their Neural Origins [Readings: Luck Ch1& Appendix]
第3週	3/05	Lecture: The Design and Interpretation of ERP Experiments drawing [Reading: Luck Ch2]
第4週	3/12	Lecture: Interpreting Event-Related Brain Potentials [Reading: Handy Ch1]
第5週	3/19	Lecture: Basic Principles of ERP Recording [Reading: Luck Ch3]
第6週	3/26	Lecture & Lab: Oddball experiment and P300 [Reading: Luck Ch8]
第7週	4/02	Lecture: Basic Principles of ERP Quantification Lab: EEG installation (computers required) （Reading:Handy Ch3)
第8週	4/09	9:30 樂學館 [take home QUIZ] Group 1&2 Lab: Experiment set-up and data collection Group 3&4: Getting started with ERPLAB (computers required)
第9週	4/16	Mid-term exam
第10週	4/23	9:30 樂學館 Group 3&4 Lab: Experiment set-up and data collection Group 1&2: Getting started with ERPLAB (computers required)
第11週	4/30	Mid-term exam review Lecture: Overview of data analysis (computers required) Lab: Load Dataset, Create Event List (Binlister), Epoching and Baselining
第12週	5/14	Lecture: Averaging, Artifact Rejection, and Artifact Correction Lab: -- in EEGlab (computers required) [Reading: Luck Ch4]
第13週	5/21	Lab: Channel operations, re-referencing Lecture: Filtering (computers required) [Reading: Luck Ch5]
第14週	5/21	Lecture & lab: Filtering (computers required) [Reading: Luck Ch5]
第15週	5/28	Lecture & lab: Plot waveforms, difference waves, and scalp maps (computers required) [Reading: Luck Ch6]
第16週	6/04	Lecture & lab: Grand average, measure amplitudes and latencies (computers required) [Reading: Luck Ch6]
第17週	6/11	Catch up time and review Q&A [practice analyzing one dataset] (computers required)
第18週	6/18	Final exam