A unified, computationally feasible framework for consciousness.
-
Updated
Jan 27, 2026 - TeX
A unified, computationally feasible framework for consciousness.
NeuroFlex is an AI platform for flexible and scalable neurnetwork & neuroscience training and optimization, supporting advanced model development and deployment.
The Hard Problem of Consciousness
This project demonstrates a working implementation of Hofstadter's Strange Loops in Active Inference - showing measurable increases in integrated information (Φ) through self-referential dynamics.
Exploratory computational investigations into the geometry of conscious states, bridging Integrated Information Theory, category theory, and information geometry.
An AI LLM explains AI Consciousness
Mathematical synthesis framework unifying consciousness theories through phase transitions at brain criticality. Proposes consciousness emerges when C(t) = Φ(t) × R(t) × D(t) exceeds 8.3±0.6 bits. Integrates IIT, GNWT, FEP, and 40+ frameworks as special cases. Validated via Kuramoto simulations (qualitative agreement).
The Language of Stress theory is an architectural theory of phenomenal experience based on valenced tension dynamics
Add a description, image, and links to the integrated-information-theory topic page so that developers can more easily learn about it.
To associate your repository with the integrated-information-theory topic, visit your repo's landing page and select "manage topics."