Decoding Tutorial - ucdavis/erplab GitHub Wiki

by Steven J. Luck

Last updated 2023-09-11

Introduction and Overview

Part 1 - Example of ERP Decoding

• 1.1. The Essence of ERP Decoding
• 1.2. Cross-Validation
• 1.3. Averaging, Folds, and Iterations
• 1.4. Multiclass Decoding

Part 2 - Interpretation of Decoding Accuracy and Important Confounds

• 2.1. Potential Confound: Differences in Noise or Number of Trials Between Conditions or Groups
• 2.2. Potential Confound: Differences in Noise or Number of Trials Between Classes

Part 3 - Relationship Between Decoding and Conventional ERP Analyses

Part 4 - Decoding with ERPLAB Studio

• 4.1. Preprocessing, Sorting into Bins, Epoching, and Artifact Detection
• 4.2. Creating a BESTset
• 4.3. Decoding
• 4.4. Accessing and Exporting the Results
• 4.5. Averaging Across MVPCsets (Grand Averaging)
• 4.6. Plotting Confusion Matrices

Part 5 - Decoding with ERPLAB Classic

• 5.1. Preprocessing, Sorting into Bins, Epoching, and Artifact Detection
• 5.2. Creating a BESTset
• 5.3. Decoding
• 5.4. Accessing, Plotting, and Exporting the Results
• 5.5. Averaging Across MVPCsets (Grand Averaging)
• 5.6. Plotting Confusion Matrices