chaos-freezing-without-plasticity
CommunityStabilize chaotic RNNs without synaptic plasticity.
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This method stabilizes chaotic recurrent neural networks without relying on synaptic plasticity by introducing Onsager reaction terms, enabling controlled dynamics and improved predictability.
Core Features & Use Cases
- Onsager-based stabilization for RNNs to suppress chaotic fluctuations without changing synaptic weights.
- Deterministic simulations with adjustable eta schedules to explore transitions from chaos to order.
- Memory and prediction experiments that test the ability of frozen dynamics to sustain patterns or forecast sequences.
Quick Start
Provide an initial state and run the chaos-freezing RNN with an increasing Onsager strength to observe transition from chaotic to stable dynamics.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: chaos-freezing-without-plasticity Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#chaos-freezing-without-plasticity Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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