ddm-simulator

Simulate Drift Diffusion Model decision-making with interactive browser-based visualization.

Updated Apr 6, 2026

Search Tags:#simulation #decision-making #ddm #cognitive neuroscience #drift diffusion model

Ready to run

npx skills add https://github.com/ckt520728/claude-skills --skill ddm-simulator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ddm-simulator
Source: https://github.com/ckt520728/claude-skills/tree/main/ddm-simulator
Command: npx skills add https://github.com/ckt520728/claude-skills --skill ddm-simulator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides an interactive web-based simulator for the Drift Diffusion Model (DDM), enabling users to visualize and understand decision-making processes in cognitive neuroscience.

Core Features & Use Cases

Interactive DDM Simulation: Visualize the DDM model in action with adjustable parameters.
Real-time Visualization: Real-time Monte-Carlo simulation and visualization of sample paths, RT distributions, and psychometric functions.
Educational Tool: Ideal for educational purposes, allowing users to experiment with DDM parameters and observe the effects on decision-making.

Quick Start

Use the ddm-simulator skill to simulate a DDM trial with the default parameters and view the results.

Frequently Asked Questions about ddm-simulator

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

FAQPage Schema

How do I simulate a Drift Diffusion Model for decision-making research?▼

You can simulate a Drift Diffusion Model (DDM) using an interactive browser-based tool that provides real-time Monte-Carlo visualization of sample paths and RT distributions. It requires JavaScript and HTML to run the simulations and visualize decision-making processes.

How does the Drift Diffusion Model demonstrate the speed-accuracy tradeoff?▼

The Drift Diffusion Model demonstrates the speed-accuracy tradeoff by showing how adjusting parameters affects decision boundaries. The interactive simulator visualizes trial-by-trial noise and its impact on reaction times and choice accuracy in two-choice tasks.

Can I use an interactive DDM simulator for teaching cognitive neuroscience?▼

Yes, you can use an interactive DDM simulator for teaching cognitive neuroscience. It serves as an educational tool allowing students to experiment with adjustable parameters and observe real-time effects on two-choice, one-selection decision-making processes.

Do I need JavaScript and HTML to visualize Drift Diffusion Model sample paths?▼

Yes, you need JavaScript and HTML to visualize Drift Diffusion Model sample paths and RT distributions. The interactive simulator relies on these web technologies to render real-time Monte-Carlo simulations and psychometric functions in the browser.

What is the best way to visualize trial-by-trial noise in a two-choice decision task?▼

The best way to visualize trial-by-trial noise in a two-choice decision task is using a Drift Diffusion Model simulator. It provides real-time visualization of sample paths, RT distributions, and psychometric functions to demonstrate cognitive decision-making effects.