The Wave and the Torus: Why Integrated Information Is Grain Diversity, Not Scalar Consciousness
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This paper reinterprets Integrated Information Theory's scalar measure of consciousness as grain diversity, proposing that toroidal, recurrent architectures, unlike dissipative feed-forward ones, enable nested levels of self-resolution.
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Abstract
Integrated Information Theory (IIT 4.0) correctly identifies causal integration as a necessary condition of conscious experience, but its exclusion postulate—which selects a single spatiotemporal grain of maximum Φ and declares all overlapping grains non-existent—generates the combination problem, the grain problem, and an untenable eliminativism about the physical. This paper argues that the exclusion postulate is an artifact of treating Φ as a scalar rather than as a topological property. Φ is reinterpreted as grain diversity over dissociative awareness (DA): the number of nested levels of self-resolution that a system sustains simultaneously. The topological condition for grain diversity is a genus transition from open, dissipative, feed-forward architectures (genus-0, "waves") to closed, recurrent, self-returning architectures (genus-≥1, "tori"). This transition is grounded mathematically (homoclinic flip bifurcations), biologically (autocatalytic closure, autopoiesis, organizational closure of constraints), and empirically (toroidal manifolds in grid cells, head direction networks, and prefrontal working memory). Active inference's "Beautiful Loop Theory" independently converges on toroidal topology as the architecture of epistemic depth. Under grain diversity, the combination problem dissolves: experience is not built by aggregating micro-experiential atoms but differentiated from a continuous field through nested porous closures. Empirical predictions (multi-grain Φ measurement, H₁ persistence as consciousness correlate) and a categorical demarcation between biological tori and feed-forward artificial architectures are derived.
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- europepmc
- last seen: 2026-05-20T01:45:00.602351+00:00
- unpaywall
- last seen: 2026-05-27T02:00:06.600101+00:00
License: CC-BY-4.0