REM E3 Model Fixed

Overview

This repository contains the core implementation, simulation, and analysis code for Experiment 3 (E3) within the project-context research. It focuses on the fixed E3 model structure and provides all scripts necessary to reproduce the results.

🎓 Dissertation Project

My Ph.D. dissertation explores long-term context memory using the REM (Retrieving Effectively from Memory) model. Key themes include:

• Context vs. feature similarity in recognition tasks
• Stage-wise decision thresholds and memory trace strengthening
• Computational simulations with Julia and Bayesian analyses with Stan

Experiment 3 (E3) extends these concepts to multi-list learning, examining how context change by list and word influences recognition performance over time.

📂 Repository Structure

• E3/ — Julia scripts & modules for Experiment 3
• E3/main_JL_E3_V0.jl — Main Julia simulation script
• *.jl — Additional Julia modules (constants, data structures, feature generation, simulation, probe evaluation)
• R_plots.r, R_plots_finalt.r — R scripts for data analysis & visualization
• DF.csv, plot1.png, etc. — Sample data & outputs
• .github/ISSUE_TEMPLATE/ — Issue reporting templates
• LOG.txt — Simulation log file

🚀 Getting Started

Prerequisites: Julia v1.10+, R v4.0+, and required packages in Project.toml & Manifest.toml.

Run Model:

cd REM_E3_model_fixed/E3
julia main_JL_E3_V0.jl

Run Analysis:

Rscript R_plots.r

📈 Usage & Examples

Example outputs: plot1.png, plot2.png. Regenerate these via the R scripts to explore parameter effects.

🔧 Development & Contribution

Follow conventional commits:

• feat(model-e3): add new simulation
• fix(model-e3): correct logic
• test(model-e3): add tests

Fork, issue, and PR welcome!

🏷️ Versioning

Tags under v0.x. See tags page.