A Neuronal Noise Critique of Integrated Information Theory
arXiv Preprint Archive December 6, 2021 Refath Bari
Integrated Information Theory (IIT) attempts to mathematically formalize conscious experience, but its treatment of neuronal noise contradicts experimental evidence. IIT predicts that noise reduces information integration, yet data show that decision-related noise is essential for learning, visual recognition, and categorical representation. The theory must be reformulated to account for both the beneficial and detrimental roles of noise observed in the brain.