The Locus of Consciousness: A Three-Position Adversarial Framework and Unified Empirical Test

AbstractThe substrate debate in consciousness science has historically stalled because competing models predict identical behavioural phenomena, rendering them empirically indistinguishable through human phenomenology alone. This paper proposes the Extended Manifold Chip Hyperscanning Protocol — a tripartite experimental design that provides the first mechanism capable of isolating the physical locus of consciousness through direct substrate comparison. The protocol adjudicates between four empirically distinct positions: Position A (classical geometric sufficiency), Position B (quantum substrate necessity), Position A+B (holographic synthesis), and a null position against which all three are tested. These positions are motivated by an independent convergence of two theoretical frameworks — the Curvature Adaptation Hypothesis (Pender) via thermodynamic first principles, and the Infinite Continuum filter model (Wharton) via ontological inversion of the Hard Problem — on a shared non-Euclidean geometric architecture for conscious state transitions. The protocol compares 40 Hz gamma phase-locking and quantum coherence signatures across three substrates: in vivo biological neural networks, a classically executing analog silicon architecture (the Manifold Chip), and a quantum-coherence-extending carbon nanotube interface. Each position generates strictly distinct predicted outcomes, providing explicit falsification criteria for all four. The protocol is the paper's primary contribution. The positions motivate and constrain its design. Summary What is the physical basis of consciousness? Despite decades of progress in neuroscience and cognitive science, the field remains divided between models that treat consciousness as an emergent property of classical neural computation and those that posit a deeper quantum substrate. This work formalizes that divide into a set of competing, empirically testable positions. We present a unified framework built around three distinct hypotheses: Position A, in which consciousness arises from classical geometric organization of information flow; Position B, in which a quantum substrate is fundamentally required; and Position A+B, a synthesis in which quantum phenomena emerge as boundary conditions of sufficiently constrained classical systems. Each position makes divergent predictions about the physical requirements for conscious systems. At the center of this work are two independent, converging architectures: the Curvature Adaptation Hypothesis (CAH), which proposes that nervous systems dynamically regulate the geometry of information processing—transitioning between Euclidean and hyperbolic regimes to optimize transport efficiency under thermodynamic constraints. This geometric perspective is paired with the Infinite Continuum filter model of consciousness, which interprets these dynamics as modulating access to a broader experiential state space rather than generating content de novo. Together, these perspectives define a shared attractor landscape in which both normal cognition and altered states (e.g., psychedelic, pathological, and near-death conditions) can be understood as transitions between constrained and expanded regimes. Crucially, the framework is not purely theoretical. We outline the Extended Manifold Chip Hyperscanning Protocol, an experimental design capable of distinguishing between the three positions using parallel classical and quantum-sensitive substrates. The results of such experiments would determine whether classical geometric systems are sufficient for consciousness or whether quantum effects play an indispensable role. Beyond neuroscience, the framework has direct implications for artificial intelligence and governance. Under Position A, engineered systems satisfying the relevant geometric and thermodynamic conditions may constitute conscious entities, raising immediate ethical considerations. Under Position B, consciousness remains inaccessible to classical architectures. Under Position A+B, the possibility of machine consciousness depends on whether classical systems can reach the regime in which quantum behavior emerges from geometric constraints. This work reframes the study of consciousness as a problem of geometry, thermodynamics, and testable physical conditions, providing a path from philosophical debate to empirical resolution Related Works Pender, M. A., & Wharton, M. (2026). Position A+B: The Holographic Synthesis Framework. Zenodo. https://doi.org/10.5281/zenodo.18957375 Wharton, M. (2026). The Infinite Continuum: A Framework for Consciousness, Existence, and the Self. https://doi.org/10.5281/zenodo.19220912 Pender, M. A. (2026). Dynamic Curvature Adaptation: A Unified Geometric Theory of Cortical State and Pathological Collapse. Zenodo. https://doi.org/10.5281/zenodo.18615180 Pender, M. A. (2026). The Metabolic Phase Transition: Qualia as a Topological Solution to the Landauer Limit in High-Dimensional Manifolds. Zenodo. https://doi.org/10.5281/zenodo.18655523 Pender, M. A. (2026). The Manifold Chip: Silicon Architecture for Dynamic Curvature Adaptation via Dual-Gated Analog Shunting. Zenodo. https://doi.org/10.5281/zenodo.18717807 Pender, M. A. (2026). Geometry-Aware Plasticity: Thermodynamic Weight Updates in Non-Euclidean Hardware. Zenodo. https://doi.org/10.5281/zenodo.18761137 Pender, M. A. (2026). The Fermi Paradox, Dark Matter, and the Scale Invariance of the Curvature Adaptation Hypothesis (1.1.0). Zenodo. https://doi.org/10.5281/zenodo.18923803 Wharton, M. (2026). The Fermi Paradox as Extended Self Network Architecture: Catastrophic Interference and Cosmic Isolation (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.18918684