spectral-theory-spiking-neurons-refractoriness

Spectral theory framework for analyzing population density dynamics of spiking neurons with refractoriness. Provides rigorous operator-theoretic methods for studying neuronal population dynamics, spectral characterization of Fokker-Planck operators, and transfer function derivation for networks with absolute refractory periods. Use when analyzing spiking neural network stability, oscillatory modes, or refractory effects on population dynamics.

What does this entry provide?

spectral-theory-spiking-neurons-refractoriness is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Spectral Theory for Population Density Dynamics of Spiking Neurons with Refractoriness This skill provides a rigorous mathematical framework for analyzing spi. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding spectral-theory-spiking-neurons-refractoriness to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: GitHub Skill Search
Quality: 58/100
Install method: codex
Repo: hiyenwong/ai_collection
Repo updated: Oct 27, 2026

Install command

codex skill install hiyenwong/ai_collection

Install method: codex

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Unknown

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

Security signals

Scan coverage: Install metadata and the indexed document body.

Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.

Discovery note

# Spectral Theory for Population Density Dynamics of Spiking Neurons with Refractoriness This skill provides a rigorous mathematical framework for analyzing spiking neural networks

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