EEG Paradigm Designer

Design EEG paradigms that isolate ERP components with optimized timing and recording parameters.

34|5|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills --skill eeg-paradigm-designer
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Skill: EEG Paradigm Designer
Source: https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills/tree/main/skills/eeg-paradigm-designer
Command: npx skills add https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills --skill eeg-paradigm-designer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Designing EEG experiments requires balancing stringent timing, stimulus control, and artifact management to reliably isolate ERP components; this skill encodes domain-validated guidelines to help researchers craft robust paradigms.

Core Features & Use Cases

  • Provides component-specific paradigm templates (P1/N1, N170, N2pc, MMN, P3a, P3b, N400, P600, ERN, LRP, CNV, SSVEP) with recommended timing windows, ISIs, jitter, and epoching.
  • Recommends trial counts, electrode montages, and artifact-control strategies to ensure adequate SNR and replicability across labs.
  • Use Case: design a semantic N400 experiment with RSVP or sentence reading, 30–40 clean trials per condition and 64-channel coverage.

Quick Start

Ask Claude to generate an EEG paradigm plan for isolating a specific ERP component with recommended timing, trial counts, and electrodes.

Frequently Asked Questions about EEG Paradigm Designer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design an EEG paradigm to isolate specific ERP components?

To design an EEG paradigm for isolating ERPs, you need to optimize timing windows, stimuli, and recording parameters. This approach applies domain-validated guidelines for precise epochs, adequate trial counts, and robust artifact control.

What timing and trial counts are recommended for a reliable N400 ERP experiment?

For a reliable N400 ERP experiment, recommended parameters include using RSVP or sentence reading tasks, acquiring 30–40 clean trials per condition, and utilizing 64-channel coverage to ensure adequate signal-to-noise ratio.

How does jittering scheme selection affect EEG artifact control and data quality?

Jittering scheme selection affects EEG artifact control by optimizing inter-stimulus intervals and epoch definitions. Proper jittering prevents overlap and ensures robust artifact management to reliably isolate target ERP components.

Can I use this EEG paradigm design approach for both perception and decision-making experiments?

Yes, you can use this EEG paradigm design approach for perception and decision-making experiments. It provides component-specific templates and enforces recording parameters required for precise epoching across various cognitive tasks.

What ERP components have predefined paradigm templates with specific electrode montages?

Predefined paradigm templates with specific electrode montages exist for P1/N1, N170, N2pc, MMN, P3a, P3b, N400, P600, ERN, LRP, CNV, and SSVEP components to ensure replicability across labs.

Why do I need predefined preprocessing guidelines for EEG experimental design?

You need predefined preprocessing guidelines for EEG experimental design to enforce component-specific timing windows and artifact-control strategies. This ensures adequate signal-to-noise ratio and reliable isolation of ERP components.