Simulate Drift Diffusion Model decision-making with interactive browser-based visualization.
npx skills add https://github.com/ckt520728/claude-skills --skill ddm-simulator
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
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.
Use the ddm-simulator skill to simulate a DDM trial with the default parameters and view the results.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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