The Quantum Global Workspace (QGW) Model: A Hybrid Framework for Consciousness

The study of consciousness remains a major challenge in neuroscience and theoretical physics. Classical models such as Global Workspace Theory (GWT) explain large-scale cognitive processing but do not fully account for subjective experience (qualia). Quantum-based models such as Orchestrated Objective Reduction (Orch-OR) propose a fundamental role for quantum mechanics in conscious awareness but lack a mechanism for large-scale cognitive integration. This paper proposes the Quantum Global Workspace (QGW) model, which integrates quantum-level processing in microtubules with large-scale neural network dynamics. We outline testable predictions, including microtubule coherence measurements, correlations between quantum collapse and EEG activity, and comparisons of quantum versus classical AI cognitive models. The findings may inform future research in neuroscience, AI, and cognitive science.Note on Use: This work is licensed under CC BY 4.0. For commercial use or licensing inquiries, please contact the author directly.