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Alastair Waterman

5 papers in the library · publishing 2016-2026

Papers

Dark Consciousness, Idea-Agents, and the Emergence of Qualia: Toward a Three-Layer Architecture of Mind

Zenodo (CERN European Organization for Nuclear Research) May 25, 2026 Alastair Waterman

Phenomenal consciousness (qualia) is not the foundation of the mind but an emergent mechanism triggered when multiple simultaneous contexts collide irreconcilably under bounded resources. A middle layer called Dark Consciousness operates as a fully functional global workspace with recognized idea-agents—dynamic patterns tracked as causal actors—yet remains phenomenally silent. Qualia arise when multi-context conflict cannot be resolved in this dark layer, forcing the system to produce a compressed, affectively loaded index of that conflict. One candidate trigger is when a system models another observer and encounters the principled opacity of that viewpoint. This exploratory essay sharpens conceptual terrain and proposes empirically tractable distinctions without settling the questions.

What Does the Brain Organise When It Becomes Conscious? Spatial Efficiency of Neural Oscillations as an EEG Marker of Phenomenal State

Zenodo (CERN European Organization for Nuclear Research) March 26, 2026 Alastair Waterman

A new EEG metric called spatial efficiency (η) tracks the organization of conscious experience by measuring how brain activity is spatially structured across frequency bands, rather than just its complexity. Unlike standard complexity measures that are inflated by amplitude increases during sleep or sedation, η remains accurate. Across four datasets, η distinguished awake from sedated states with near-perfect accuracy (AUC 0.988–1.000), outperforming Lempel-Ziv Complexity (AUC 0.612–0.755). During sleep, η correctly ranked states from wake to REM to deep sleep, and detected the presence of phenomenal content during dreaming. It also detected transient drops during cognitive restructuring in conscious subjects, showing sensitivity to changes within conscious experience that other metrics miss.

Computational Efficiency η and Neural Dissipation ||Δ|| During Propofol Sedation: EEG Evidence for the RDRT Consciousness Gradient

Zenodo (CERN European Organization for Nuclear Research) March 19, 2026 Alastair Waterman

A reanalysis of EEG data from 21 people receiving propofol sedation shows a sharp drop in a measure of computational efficiency (η) from 0.893 during wakefulness to 0.330 during sedation, alongside a large increase in a dissipation norm (||Δ||) from 1.96 μV to 30.05 μV. Pattern stability collapsed across all frequency bands during sedation, while amplitude rose, especially in delta and gamma bands. These results place propofol sedation in a dissipative transition zone where the brain expends substantial energy without producing organized spatial patterns, distinct from both wakefulness and deep unconsciousness. The findings support the prediction that η decreases along the consciousness gradient and establish sedation as an intermediate state in the η-||Δ|| phenomenal state space.

Refusal-Driven Dimensionality Reduction Theory (RDRT): A Thermodynamic Framework for Consciousness Grounded in Recursive Limits

PhilPapers (PhilPapers Foundation) January 2, 2026 Alastair Waterman

Phenomenal consciousness may arise from the brain's inability to fully process or integrate information due to thermodynamic limits, creating a structured 'negative space' of refusals that shapes subjective experience. This theory, called Refusal-Driven Dimensionality Reduction Theory (RDRT), synthesizes ideas from cognitive science and philosophy of mind, and is supported by neural evidence on gamma oscillations, anterior cingulate cortex function, and thermodynamic principles in computation. The paper establishes RDRT's theoretical foundations, outlines its core components, and reviews empirical studies up to 2025 that align with its predictions.

Organised and Dissipated Neural Energy: A Two-Dimensional Marker of Phenomenal State from Resting EEG

Zenodo (CERN European Organization for Nuclear Research) April 1, 2016 Alastair Waterman

A new EEG metric called spatial efficiency (η) tracks both the level and internal structure of consciousness. η measures how organized brain oscillations are across frequency bands, independent of signal amplitude. Across four datasets, η outperformed existing metrics: it distinguished consciousness levels during propofol sedation with near-perfect accuracy (AUC=0.970), tracked sleep stages in the expected order (Wake > REM > N2 > N3), and revealed that N2 sleep has the highest structural tension between organized and dissipated energy—a finding no other metric captures. During a reversal learning task, η transiently dropped at the moment of rule change while the complementary angle metric rose, showing sensitivity to within-consciousness reorganization. The authors argue this two-dimensional framework is theoretically grounded and overcomes the limitation of one-dimensional consciousness metrics.