associative-presynaptic-plasticity
CommunityFisher-guided presynaptic STP learning.
Education & Research#associative#presynaptic#short-term plasticity#fisher information#tsodyks-markram#neural modeling
Authorhiyenwong
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This method provides a principled framework to learn associative presynaptic short-term plasticity by extending Fisher-information-based rules to Tsodyks-Markram synapses, deriving baseline weights and release probability updates.
Core Features & Use Cases
- Model Tsodyks-Markram synapse dynamics with parameters U, D, F, and A, including state updates and spike processing.
- Apply Fisher-information learning rules to optimize synaptic weights and release probability for improved information transmission.
- Use in neural modeling of temporal coding, sequence learning, and online adaptation in neuromorphic systems.
Quick Start
Train the associative STP learner on sequential spike data to adjust synaptic weights and release probabilities.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: associative-presynaptic-plasticity Download link: https://github.com/hiyenwong/ai_collection/archive/main.zip#associative-presynaptic-plasticity Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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