Connectome rate operator analysis methodology — understanding how degree, weight govern gross response while exact wiring governs input routing. Use when analyzing complete connectomes, studying mushroom body function, or modeling neural network response properties.
Scanned 9/11/2026
Install to Claude Code
npx -y skills add hiyenwong/ai_collection --skill frozen-rate-operator-connectome --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Frozen Rate Operator Connectome?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/hiyenwong-frozen-rate-operator-connectome-ai-collection)More formats (shields.io, HTML) on the badges page.
---
name: frozen-rate-operator-connectome
description: "Connectome rate operator analysis methodology — understanding how degree, weight govern gross response while exact wiring governs input routing. Use when analyzing complete connectomes, studying mushroom body function, or modeling neural network response properties."
---
## Frozen Rate Operator from Complete Connectome Analysis
### Context
Analysis of the complete larval connectome reveals that degree and weight govern gross neural responses, while exact wiring governs input routing and mushroom-body modes.
### Key Findings (arXiv:2606.17745)
- **Degree-weight governance**: Gross neural responses determined by connection degree and weight
- **Exact wiring role**: Input routing and mushroom-body modes governed by precise connectivity
- **Calyx decorrelation**: Threshold-driven process independent from mushroom body routing
- **Routing confinement**: Set upstream of and independent from the mushroom body
### Analysis Methodology
1. Extract complete connectome adjacency matrix
2. Compute frozen rate operator from connectivity
3. Separate degree-weight effects from wiring-specific effects
4. Analyze input routing patterns
5. Identify mushroom-body modes
### Applications
- Connectome analysis
- Neural circuit function prediction
- Mushroom body modeling
- Sensory processing analysis
### Pitfalls
- **Confounding**: Degree-weight effects can mask wiring-specific patterns
- **Scale**: Complete connectomes require efficient matrix operations
- **Threshold effects**: Calyx decorrelation is threshold-driven, not linear
### Activation: connectome analysis, frozen rate operator, mushroom body, input routing, larval connectome, neural circuit
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!