bio-neuron-snn-learning
CommunityExplainable bio-inspired SNN parameter learning.
Education & Research#pytorch#bio-inspired#explainability#snn#spiking-neural-network#lz-complexity#neural-parameters
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Jointly learning synaptic weights and intrinsic neuron parameters in spiking neural networks to enable more accurate, interpretable spike data classification.
Core Features & Use Cases
- Biologically inspired neuron models that jointly optimize weights and intrinsic parameters.
- Explainable SNNs through Lempel-Ziv complexity-based analysis of spike data.
- Applications: neuromorphic computing, event-driven sensing, and temporally structured data classification.
Quick Start
Train the BioNeuronSNN model on your spike-train data to jointly learn synaptic weights and intrinsic neuron parameters.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: bio-neuron-snn-learning Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#bio-neuron-snn-learning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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