🎓 EvoSpikeNet Learning Guide
[!NOTE] For the latest implementation status, please refer to Functional Implementation Status (Remaining Functionality).
This guide is designed to help you systematically learn from the extensive EvoSpikeNet documentation and master next-generation distributed brain simulation.
🛤️ Recommended Learning Paths
Choose a path that best fits your goals and role.
1. 【Beginner】Basic Concepts & Setup
Learn the overview of EvoSpikeNet and the basics of running it in your environment. - [x] EvoSpikeNet Overview: Understand the big picture - [x] Installation Guide: Set up your environment - [x] Quickstart: Your first run
2. 【Intermediate】SDK Usage & App Development
Learn how to build your own SNN models and distributed applications using the SDK. - [x] SDK Reference: How to use key APIs - [x] User Manual: Detailed functional explanations - [x] Simulation Recording Guide: Data visualization and recording
3. 【Advanced】Architecture Details & Theory
Deep dive into advanced theories and implementations such as distributed systems, self-evolution, and brain language conversion. - [x] Distributed Brain System: Zenoh-based distributed architecture - [x] Self-Healing & Recovery: System robustness - [x] RAG System Details: Hybrid search and knowledge extraction
🧠 Topic-Specific Quick Links
Use these if you want to focus on a specific technical topic.
- SNN (Spiking Neural Networks): Core Concepts, Hybrid SNN Engine
- Distributed Computing: Zenoh vs Torch Distributed, Node Configuration
- Evolutionary Learning: Advanced Self-Evolution 11-7, Implementation Verification
- Medical & EEG Applications: EEG Integration, Connectome Policy
🗂️ Navigate by feature area
- Core features and onboarding
- Biomimetic systems and evolutionary learning
- Distributed brain architecture
- Memory management and RAG systems
- SDK and API integration
- Deployment, operations, and infrastructure
📝 Self-Assessment Quizzes (Coming Soon)
We are preparing quizzes to help you check your understanding of each section.