Cognitive Paradigm Design

Translate cognitive research questions into parameterized experimental paradigms with controls and analysis guidance.

34|5|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/NeuroAIHub/awesome_cognitive_and_neuroscience_skills --skill cognitive-paradigm-design-neuroaihub
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Cognitive Paradigm Design
Source: https://github.com/NeuroAIHub/awesome_cognitive_and_neuroscience_skills/tree/main/skills/cognitive-paradigm-design
Command: npx skills add https://github.com/NeuroAIHub/awesome_cognitive_and_neuroscience_skills --skill cognitive-paradigm-design-neuroaihub

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Researchers need a methodical way to map cognitive research questions to validated experimental paradigms, configure parameters, and document controls without hunting through papers manually. This Skill compiles domain heuristics and controls into a conversational workflow so even non-specialists can plan rigorous studies.

Core Features & Use Cases

  • Research planning protocol: Forces question clarification, method justification, expected outcomes, and assumptions before paradigm selection while linking to the research-literacy skill for deeper methodology refinement.
  • Paradigm decision tree: Guides mapping from attention, memory, decision making, perception, language, and executive function questions to concrete paradigms with timing, trial count, proportion, and control rules drawn from the references.
  • Control and analysis guidance: Documents counterbalancing, practice, catch trial rules, dependent variables, and recommended statistics plus domain-specific warnings to avoid pitfalls like Stroop contingencies or stop-signal SSRT misestimation.

Quick Start

Help me pick and configure a cognitive paradigm that matches my research question and include controls plus dependent variable guidance.

Frequently Asked Questions about Cognitive Paradigm Design

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

FAQPage Schema
How do I design an experimental paradigm for memory and attention research?

To design an experimental paradigm, translate your cognitive research question into a parameterized setup with trial pacing, counterbalancing rules, and control configurations. This workflow maps attention and memory questions to validated paradigms with timing and statistical recommendations.

What cognitive tasks are supported for experimental design?

Supported cognitive tasks span attention, memory, decision making, perception, language, and executive function studies. The paradigm decision tree maps these domains to concrete experimental tasks with specific timing, trial proportions, and control rules.

How do I configure counterbalancing and catch trials for a cognitive experiment?

Configure counterbalancing and catch trials by applying documented control rules from classic paradigm parameters. The workflow generates specific counterbalancing, practice, and catch trial rules alongside dependent variables and recommended statistics for your research.

Can I use this to plan executive function studies without prior neuroscience expertise?

You can plan executive function studies without prior neuroscience expertise. The research planning protocol forces question clarification, method justification, and assumption checks before paradigm selection, enabling non-specialists to configure rigorous studies.

What are common pitfalls in stop-signal and Stroop paradigm designs?

Common pitfalls in stop-signal and Stroop paradigm designs include SSRT misestimation and Stroop contingencies. The workflow provides domain-specific warnings and control guidance to avoid these experimental design errors.

Does this workflow provide statistical recommendations for cognitive paradigms?

The workflow provides statistical recommendations for cognitive paradigms by documenting dependent variables, recommended statistics, and analysis guidance alongside classic paradigm parameters to satisfy research planning protocols.