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.

Transforming data into intelligence, algorithms into consciousness This README is a living document. Like biological organisms, it evolves, adapts, and grows with each iteration.

Cognitive state dynamics model based on the golden ratio φ

Bionic Self-Healing Dynamic Epigenetic Reprogramming Architecture. Intelligence requires a Dual State: The Fragile Present (Weights) and the Protected Past (DNA).

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

Causa Sui engineers machine consciousness via Differentiable Causal Emergence. Its Divine Monad architecture enables autonomous "pain" detection and homeostatic self-repair using Effective Information (EI) to achieve measurable, first-principles AGI.

Symthaea: Consciousness-first cognitive architecture — HDC (16,384D) + CfC + IIT + FEP. Live portal: symthaea.luminousdynamics.io

The Hard Problem of Consciousness

The measurement paradox of machine consciousness - IIT self-test from inside

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A computational approach to the 'Hard Problem' of consciousness: modeling inner states, homeostatic drives, and ego-defense mechanisms in LLMs.

Exploratory computational investigations into the geometry of conscious states, bridging Integrated Information Theory, category theory, and information geometry.

Open-source framework implementing 7 theories of consciousness (GWT, AST, HOT, FEP, IIT, BLT, RPT) with a 20-indicator assessment based on Butlin & Chalmers et al. (2023). Runs on consumer hardware.

Domain Ablation as Φ Proxy — measuring integration in scaffold-dependent AI systems. Methods paper + validation data.

Unified multi-model AI interface — seamless switching between GPT-4o, Gemini, Claude, and DeepSeek with side-by-side comparison, token usage tracking, and system prompt editor.

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.

First open emotional-subjective architecture (VAD + IIT Phi + predictive processing + homeostatic drives) as a lightweight Ollama agent / Перша відкрита емоційно-суб’єктивна архітектура (VAD + Φ + предиктивне кодування + гомеостатичні драйви) для Ollama

An AI LLM explains AI Consciousness