Abstract: Within the Geometro-Diffusion Theory (GDT) of consciousness, we formulate a candidate geometry for the relational organization of color experience. We distinguish a diffusion-induced scaffold, the color content encoded on it, and its neuronal realization. Elementary network examples establish these distinctions and show how consensus-directed nonlinear activity preserves the diffusion...
Theories of consciousness frequently emphasize integration, differentiation, recurrent processing, or global availability, but the mathematical organization connecting neural propagation with subjective experience remains unclear. We introduce the Geometro–Diffusion Theory (GDT), in which diffusion-like dynamics on a structured substrate induces an intrinsic relational geometry. We introduce...
General anesthesia provides a reversible means of investigating the dynamical conditions required for consciousness. Within the Geometro-Diffusion Theory (GDT), loss of consciousness occurs when neural signal propagation no longer generates a sufficiently differentiated geometry whose relational information can be intrinsically accessed by the system. We investigate this mechanism through...
The Geometro-Diffusion Theory (GDT) proposes that neural propagation generates a relational geometry whose differentiation and intrinsic accessibility contribute to consciousness. Here, we extend GDT from conservative diffusion to open cortical systems in which the propagated quantity can be created, amplified, removed, or exchanged with a reservoir. We compare conservative diffusion with...