🧠 Neurocosmic Framework Toolkit

CLI Generator Workflow

This HTML dashboard connects to your YAML data through the following workflow:

1. Folder Structure

signal-noise-toolkit/
├── generate_dashboard.py
├── neurocosmic_layers.yml
├── templates/
│   └── index_template.html
├── output/
│   ├── index.html
│   ├── data.json
│   └── README.md

2. Python CLI Script

import yaml
import json
import os
from jinja2 import Environment, FileSystemLoader

# Load YAML data
with open("neurocosmic_layers.yml", "r") as f:
    data = yaml.safe_load(f)
    layers = data["layers"]

# Setup Jinja2 template
env = Environment(loader=FileSystemLoader("templates"))
template = env.get_template("index_template.html")

# Generate outputs
os.makedirs("output", exist_ok=True)

# HTML
with open("output/index.html", "w") as f:
    f.write(template.render(layers=layers))

# JSON
with open("output/data.json", "w") as f:
    json.dump(layers, f, indent=2)

# Markdown
with open("output/README.md", "w") as f:
    f.write("# Neurocosmic Layer Framework\n\n")
    f.write("| Icon | Layer | Neurobiology | Dialectic | Axis |\n")
    f.write("|------|-------|--------------|-----------|------|\n")
    for layer in layers:
        f.write(f"| {layer['icon']} | {layer['name']} | {layer['neurobiology']} | {layer['dialectic']} | {layer['axis']} |\n")

print("✅ Dashboard generated to /output/")

Framework Commentary

🌊 Origins

Entropy vs Signal at the synaptic level - Information emerges from chaos, the primal cosmogenesis.

❤️ Commons

Scarcity vs Reciprocity - Captures the cellular tension of life: competition vs cooperation, encoded in axonal architectures.

🌀 Trust vs Faust

Amygdala vs PFC - The classic fear vs reason, limbic vs executive tension—the Faustian battlefield.

🐬 Boundaries

Hippocampus vs Thalamus - Shapes the boundaries of perception and integration—how the system determines relevance.

🔁 Sustainability

Insular vs DMN - Reflects the pivot from egocentric to allocentric cognition—key to sustainability and collective coherence.

Next Steps

• Add Flask API for dynamic filtering
• Implement GitHub Pages deployment
• Expand with visualization components