eeglab

What problem does it solve?

It helps you plan and route EEGLAB-focused EEG preprocessing and analysis tasks so you can structure correct, reproducible steps (including ICA, event/epoch handling, and QC) without blindly running heavy processing.

Core Features & Use Cases

• EEGLAB-oriented preprocessing planning: Outline a safe preprocessing sequence for continuous and event-related EEG workflows (e.g., channel handling, re-referencing, filtering order, ICA preparation, and epoching).
• ICA and artifact handling guidance: Support ICA decomposition planning and describe typical artifact-component classification and removal using common EEGLAB plugins.
• Event-to-epoch workflow support: Map user-provided event questions into a practical EEGLAB plan for extracting epochs and preparing ERP/time-frequency analyses.

Use case: A user has raw EEG data and wants a step-by-step EEGLAB plan to prepare it for ERP analysis, including re-referencing, ICA-based artifact removal, and epoch extraction from specified event types.

Quick Start

Ask an AI assistant: “Using the eeglab skill, propose a safe EEGLAB preprocessing plan for continuous EEG targeting ERP analysis, and list the key EEGLAB functions and QC checks I should run before ICA and after artifact component removal.”