This tutorial will introduce how the Lossless pipeline uses parameters to make decisions about the data and how to optimize parameters for a dataset. This tutorial uses the Face13 sample dataset to explore parameter decisions and optimization.
Prerequisites
- MATLAB
- All of the previous BIDS EEG, and Lossless pipeline lessons
- Familiarity with EEGLAB, and the Batch Context and Vised Marks plugins
| Setup | Download files required for the lesson | |
| 00:00 | 1. Introdution to Lossless Parameters |
What are parameters?
How does the Lossless pipeline use parameters to make decisions? |
| 00:45 | 2. Determining Optimal Parameters | How do you determine the optimial parameters for a dataset? |
| 01:30 | 3. Making Decisions About Parameters | How do you identify incorrect parameters? |
| 02:00 | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.