multi-plasticity-synergy-snn
CommunityCoordinate multiple plasticity mechanisms for SNN training
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Biologically inspired SNN training framework that enables collaboration among multiple plasticity mechanisms while preserving relatively independent update dynamics.
Core Features & Use Cases
- Integrates STDP, reward-modulated plasticity, homeostatic plasticity, and neuromodulated plasticity for flexible learning.
- Adaptive mechanism gates dynamically balance updates to improve robustness across tasks.
- Use case: train spiking neural networks on static image datasets and event-based data, bridging neuromorphic and conventional AI workflows.
Quick Start
Initialize a Multi-Plasticity Synergy SNN model and train with STDP, reward-modulated, and homeostatic updates using adaptive mechanism gates.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: multi-plasticity-synergy-snn Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#multi-plasticity-synergy-snn Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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