ViciousSquid/Dosidicus

A cognitive sandbox: Raise digital squids whose brains grow & rewire themselves through Hebbian learning and Neurogenesis

48
/ 100
Emerging

Implements a custom NumPy-based neural simulation engine (STRINg) with fully visible neuron activations, enabling transparent learning mechanics absent in standard deep learning frameworks. Supports both interactive PyQt5 GUI and headless training modes, with persistent cognitive histories saved as exportable brain files that capture how early interactions permanently shape neural structure through Hebbian weight updates and neurogenesis events.

282 stars.

No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 9 / 25

How are scores calculated?

Stars

282

Forks

10

Language

Python

License

GPL-2.0

Last pushed

Mar 11, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ViciousSquid/Dosidicus"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.