plastic-arbor-simulation
CommunityHigh-performance synaptic plasticity simulations.
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This framework automates high-performance synaptic plasticity simulations spanning from single synapses to morphological neural networks, enabling researchers to explore learning rules and network dynamics without from-scratch development.
Core Features & Use Cases
- Configurable network models: from single synapses to large morphological neuron networks with CPU/GPU support.
- High-performance compute: leverages CPU/GPU for scalable simulations.
- Use Case: study STDP learning rules and network maturation in silico.
Quick Start
Run a minimal Plastic Arbor simulation with a 100-neuron network to observe simple STDP-driven weight changes.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: plastic-arbor-simulation Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#plastic-arbor-simulation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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