REM E3 Research Platform

🔍 Research Overview

This platform hosts Experiment 3 (E3) in our long-term context memory research project. Built with jsPsych and deployed via Cloudflare Pages, it leverages Firebase for robust data storage and features a sophisticated Render backend for seamless data processing.

🎓 Dissertation Project

My Ph.D. dissertation explores the intricate mechanisms of long-term context memory using the REM (Retrieving Effectively from Memory) model. This groundbreaking research investigates:

• Context vs. Feature Similarity: How different types of similarity affect recognition performance in complex memory tasks
• Stage-wise Decision Thresholds: The role of memory trace strengthening in multi-stage recognition processes
• Computational Modeling: Advanced simulations using Julia programming and Bayesian statistical analyses with Stan
• Multi-List Learning: How context changes across different word lists influence long-term memory formation

Experiment 3 represents a significant advancement in our understanding of how context change by list and word influences recognition performance over extended time periods, providing crucial insights into the mechanisms underlying human memory systems.

🔗 Research Resources

Current Project

• 🏠 Main Repository - Complete experiment hosting platform
• 🐛 Issues & Templates - Bug reports and feature requests
• 📦 Releases & Tags - Version history and downloads

Connected Repositories

• 📚 Full Dissertation Repository - Complete research project with all experiments
• 🔬 REM E3 Mathematical Model - Computational implementation of the theoretical framework

⚙️ Technical Architecture

Our platform features a sophisticated, modular architecture designed for scalability and maintainability:

📁 JavaScript Modules

• Configuration: const_general.js & const_exp.js – Centralized parameter management
• Utilities: helpfunctions.js – Reusable helper functions and algorithms
• Data Layer: load.js – Firebase initialization and data persistence wrapper
• Experiment Logic: main.js – jsPsych timeline orchestration and result submission

🔄 Data Processing Pipeline

1. Client-Side Collection: Real-time data capture during experiment sessions
2. Secure Transmission: Encrypted POST requests to Render endpoint
3. Backend Processing: Render server forwards data to Firestore via Admin SDK
4. Cloud Storage: Persistent storage in Firebase Firestore with automatic scaling

🛠️ Development Tools

• Data Export: export_firestore.py – Automated JSON/CSV export utilities
• Firebase Configuration: firebase.json, firestore.rules, firestore.indexes.json
• Deployment: Automated CI/CD pipeline with Cloudflare Pages integration

# 1. Clone the repository
git clone https://github.com/naszhu/EXP_host.git
cd EXP_host

# 2. Install dependencies
npm install

# 3. Configure Firebase
#    - Add your Firebase configuration to js/load.js
#    - Update firebase.json rewrites for your domain
#    - Set up Firestore security rules

# 4. Deploy to Cloudflare Pages
#    - Push changes to main branch
#    - Automatic build and deployment
#    - SSL and CDN optimization included

# 5. Monitor and analyze
#    - View real-time data in Firebase Console
#    - Export results using export_firestore.py
#    - Run statistical analyses with your preferred tools