sparse-gradient-plasticity
CommunitySparse gradient plasticity for online learning.
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Enables online learning with truly sparse, general gradient-based synaptic plasticity, avoiding manual gradient derivations while preserving online adaptability.
Core Features & Use Cases
- Sparse online gradient updates to neural weights.
- Applies to spiking neural networks and online learning experiments.
- Useful for plasticity research and online adaptation tasks.
Quick Start
Initialize SparseGradientPlasticity(n_pre, n_post, sparsity) and run an online update loop with your pre- and post-synaptic signals to start learning.
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: sparse-gradient-plasticity Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#sparse-gradient-plasticity Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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