Workshop Overview#
This EEG workshop introduces the core concepts and practical analysis steps needed to work with EEG data in experimental research. Across three sessions, Artyom Zinchenko covers the basis of EEG signals, preprocessing and ICA in EEGLAB, and event-related averaging with lateralized ERP analysis.
Sessions and Materials#
Session 1 — Basis of EEG#
Introduction to EEG as a method: what EEG measures, how signals are recorded, common sources of noise, and the basic logic of EEG experimental design and interpretation.
📄 Download slides: Basis of EEG
Session 2 — Preprocessing and ICA in EEGLAB#
Practical preprocessing workflow for EEG data, including importing data, filtering, channel handling, artifact inspection, and using independent component analysis (ICA) to identify and remove artifacts.
📄 Download slides: Preprocessing and ICA
Session 3 — Averaging and Lateralized ERP Analysis#
From cleaned EEG data to ERPs: epoching, baseline correction, averaging, interpreting ERP waveforms, and working with lateralized ERP components for attention and perception research.
📄 Download slides: Averaging and Lateralized ERP