Course Info: CS-0313
| Course | CS-0313 Electrophysiology Methods and |
| Long Title | Electrophysiology Methods and Data Analysis |
| Term | 2016S |
| Note(s) |
Instructor Permission Required Textbook information |
| Meeting Info | Adele Simmons Hall 126 on T,TH from 2:00-3:20 |
| Faculty | Joanna MorrisüEthan Meyers |
| Capacity | 12 |
| Available | 4 |
| Waitlist | 0 |
| Distribution(s) | |
| Cumulative Skill(s) | Writing and Research Quantitative Skills Independent Work |
| Additional Info | Prerequisite: one prior course in cognitive psychology, neuroscience, computer science, statistics or other relevant area. In this course, students are expected to spend at least six to eight hours a week of preparation and work outside of class time. |
| Description | This course was an upper-level research seminar designed for students who wish to learn electrophysiological techniques and how to analyze electrophysiology data. Students were introduced to the neural basis of and electrical principles involved in recording EEG signals. They were expected to become familiar with all the steps involved in the collection and analysis of EEG data including the transduction of the bioelectric signals to electrical current, the transmission of the signal from the reference, scalp and eye electrodes to the EEG amplifier, and conversion of the analog signal to a digital representation. They were expected to be familiar with sources of potential artifact in EEG recordings and methods for dealing with such artifact as well as with the effects of different types of filters on the EEG signal. Students ran a number of studies and wrote two lab reports, one focused on data collection and the second on the processing of the EEG data and the generation of event related potentials based on the EEG signal. Students were also taught how to analyze ERP using MATLAB, and were required to complete three worksheets of data analysis exercises. |