Circumpunct Theory of Consciousness

A Structural Theory of Mediated Dynamics

Circumpunct Theory v3.0 · January 2026

0. Theory Statement

Before proceeding, we declare explicitly what kind of theory this is, what it claims, and what would refute it.

The Circumpunct Theory is a structural theory of mediated dynamics.

It specifies the minimal conditions under which discrete gating and continuous flow can coherently coexist—and derives consciousness as the irreducible pattern that emerges when these conditions obtain.

Domain

This theory belongs to the class of structural constraint theories—alongside information theory, thermodynamics, and category theory. It does not propose new particles, forces, or substances. It proposes a constraint on valid descriptions: any system exhibiting both discrete selection and continuous signal requires a triadic structure that cannot be reduced to either component alone.

The theory applies wherever:

Primary domain of application: neural dynamics at criticality. Secondary domains (requiring separate validation): quantum measurement, social systems, information processing architectures.

Core Postulates

Postulate 1: Mediation
Discrete and continuous descriptions cannot coherently relate without a mediating operation. Any attempt to derive one from the other directly results in contradiction, incompleteness, or category error. The mediating field (Φ) is structurally necessary, not optional.
Postulate 2: Temporal Division
P = E / t. The aperture is the division operation (÷t) that converts timeless energy into temporal power. Time is generated by the aperture, not assumed as background. The present moment IS the active division.
Postulate 3: Fractal Nesting
Parts are fractals of their wholes. The boundary at scale N is composed of complete circumpuncts at scale N-1. This is not metaphor—it is a structural claim with measurable consequences for cross-scale coherence.

What This Theory Is NOT

Relationship to Existing Theories

The theory recovers existing frameworks as partial descriptions:

Existing Theory Circumpunct Interpretation What It Captures
IIT (Tononi) Measures field integration (Φ) How much the field binds—necessary but not sufficient
GNW (Dehaene) Measures aperture broadcast (•) What passes through the gate—necessary but not sufficient
Free Energy (Friston) Formalizes aperture dynamics Precision-weighting ≈ aperture opening; generative model ≈ field
Criticality (Beggs/Plenz) Identifies the ρ ≈ 1 regime Where triadic dynamics become empirically irreducible
The unification claim: These theories are not competitors—they measure different components of one structure. The circumpunct provides the geometry that relates them.

1. The Core Claim

Most theories try to locate consciousness IN something—in the processing (functionalism), in the matter (physicalism), in the information integration (IIT), in the global broadcast (GNW). Each locates consciousness in one component of a system.

The Circumpunct Theory posits a different move entirely:

Consciousness isn't located in any component because it IS the irreducible pattern of three components operating together.

Remove any one and the structure collapses. This isn't three parts of consciousness—it's three aspects of a single irreducible pattern.

Core Axiom
Parts are fractals of their wholes. This is not metaphor. It is an operational statement with measurable consequences.

2. The Irreducible Triad

The fundamental unit of conscious structure is an irreducible trinity:

⊙ = • ÷t Φ → ○

Aperture (•) divides Energy into Power, which flows through Field (Φ) into Boundary (○)

The aperture is the division operation. The field carries energy (before) and power (after). The boundary contains and interfaces with exterior.

Note on "Energy": Throughout this framework, "energy" denotes physical energy (Joules, capacity to do work) or any conserved capacity for change that obeys analogous constraints. Where physical instantiations apply, standard thermodynamic definitions hold. The framework claims structural homology across domains—the same pattern governs literal energy flow and generalized potential-to-actual transitions.

Aperture (÷t)

The division operation. Where timeless energy becomes temporal power. Not a thing—a verb. The origin of time itself.

Φ

Field (E → P)

Energy before the aperture (potential, future). Power after the aperture (flowing, present). The 2D interface between scales.

Boundary (∫P dt)

Accumulated power transfers. Crystallized energy. Matter. Made of nested circumpuncts at smaller scale.

Why Triadic Specifically?

Geometrically: center and boundary cannot interact directly due to spatial separation. Mediation is required. That mediation (the field) isn't optional—it's structurally necessary.

• ↮ ○     • → Φ → ○

Direct interaction forbidden. Mediated interaction required.

The aperture is where energy crosses between scales. The field is the medium of that crossing. The boundary is where the crossing accumulates. The "consciousness" is the whole operation—the crossing itself.

Consciousness ≠ Mind. Consciousness is the whole circumpunct (⊙). Mind is the field (Φ)—one of three components. The aperture (•) is focus/attention. Body is the boundary (○). The framework distinguishes what casual usage conflates.

Neural Mapping (Working Correlates)

These are working hypotheses, not settled claims:

Component Role Neural Correlate Disruption Signature
• Aperture Temporal division / gating Thalamocortical gating + brainstem arousal systems Loss of consciousness under anesthesia; coma; absence-like dropouts
Φ Field Energy/Power transfer / integration Distributed cortical dynamics (association cortex, fronto-parietal, DMN) Fragmentation, delirium-like disorganization, reduced integration
○ Boundary Accumulated structure / embodiment Interoception + sensorimotor loops (insula, ACC, body maps) Body-ownership distortions; depersonalization-like boundary instability

3. The Aperture: The Origin of Time

Fundamental Principle
The aperture IS the ÷t. It is the division operation that converts timeless energy into temporal power. The aperture doesn't exist IN time—the aperture generates time.

P = E / t

Power equals energy divided by time. This isn't just a physics definition—it reveals the aperture's fundamental nature:

P = E / t

Power = Energy ÷ Time
The aperture IS the division operation

Quantity Temporal State Framework Component Physical Meaning
E (Energy) Future / Potential Φ — Infinite Field Capacity to do work. What CAN happen. Timeless.
t (Time) The cut / NOW • — Aperture Introduced by aperture. The discrete moment.
P (Power) Present / Actual Φ' — Finite Field Rate of energy transfer. What IS happening.
m (Matter) Past / Crystallized ○ — Boundary Accumulated power transfers. E = mc².

The Flow Structure

Φ
Infinite Energy (timeless, 0D/∞D)
÷ t
THE APERTURE (the division)
P
Power (temporal flow, the NOW)
— braid —
Accumulated t's (the past, 1D)
Boundary/Matter (crystallized, 3D)

Energy enters as infinite potential. The aperture introduces the ÷t—the rate-limiting cut—and what emerges is power: energy with temporal structure. Each division deposits a moment into the braid. The accumulated moments crystallize into matter.

E = mc² as Aperture Theorem. Matter IS energy that has passed through the aperture and crystallized. The boundary is made of completed power transfers. Every particle of your body is energy that has been divided by time, flowed as power, and accumulated into form.

Why Division, Not Continuity?

A natural objection: why must there be division at all? Why not continuous flow?

The answer is structural. Continuous flow without division produces:

Division is the minimal operation required for temporal structure to exist. The aperture doesn't divide because division is useful—division is what makes time, sequence, and selection possible at all. The question "why division?" is like asking "why arithmetic?"—it's the operation that constitutes the domain.

The digital is prior to the analog. Continuous experience emerges from discrete gating, not the reverse. Analog signal rides on digital pulses—the pattern of open/close carries the waveform. This is why consciousness has a "frame rate" and why anesthesia (which disrupts gating) eliminates temporal experience entirely.

Why 0D = ∞D

Without the aperture's division, there is no rate:

limt→0 (E/t) = ∞

As the temporal cut vanishes, power becomes infinite.
All energy, all at once, everywhere.

Zero dimensions means no particular location—no constraints, no boundaries. This is mathematically equivalent to infinite degrees of freedom. The infinite field (Φ) is both the dimensionless point and the infinite whole. From this ground, the aperture selects by dividing.

Epistemological note: The claim "0D = ∞D" is structural, not a rigorous topological theorem. It expresses the insight that no constraint and all possibilities are operationally equivalent—both describe the pre-divided ground. A formal derivation would require specifying the topology and measure on "possibility space." The framework treats this as a generative axiom whose validity is tested by downstream predictions, not as a proven lemma.

The Selection Mechanism: Resonance

The aperture doesn't choose what to orient toward—it resonates with what matches its frequency. Resonance is not just a property; it is the orientation mechanism itself.

The aperture orients by resonance. It finds its target by what it resonates with. Attention is not locomotion—it is holding resonance against the current of everything flowing past. The default is drift. Sustained attention is maintaining attunement.

This dissolves the homunculus problem. The aperture isn't a thing that does selecting—it's the act of division itself. A verb, not a noun. Phase-matching, not decision-making.

Physical Implementation

The gating is binary (χ = ±1)—open/closed, yes/no. The pattern of openings carries analog information. This is physically implementable as:

Asking "what does the dividing" may be a category error—like asking "what does the falling" for gravity. The aperture doesn't divide; division is what aperture IS.

4. The Mathematical Signature

For any system, define the ratio parameter:

ρ = ω / α

ω = drive frequency (environmental change rate)
α = relaxation rate (internal equilibration rate)

Note that ρ is itself a ratio of rates—of ÷t operations. It compares two ways the aperture divides energy into time.

The Regime Transition

This mirrors the branching ratio σ in neuronal avalanche dynamics, where σ ≈ 1 (critical) produces power-law avalanches, maximal dynamic range, and complexity. Systems at σ < 1 are subcritical (activity dies out); σ > 1 are supercritical (runaway). Biological systems in awake states hover near σ ≈ 1; anesthesia shifts away from criticality.

ρ vs σ: ρ is a timescale ratio (drive/relaxation); σ is a branching ratio (propagation). The proposal is that both track a shared critical regime—ρ ≈ 1 often corresponds to conditions where σ hovers near 1 in adaptive networks—not that they are identical parameters.
ρ Value Regime Avalanche Analog Implication
ρ < 0.5 Overdamped σ < 1 (subcritical) System equilibrates faster than it's driven. Two variables suffice. Aperture is "transparent."
ρ ≈ 1 Critical σ ≈ 1 (critical) Matched timescales. Power-law dynamics. Independent aperture dynamics carry irreducible information.
ρ > 2 Overdriven σ > 1 (supercritical) System driven faster than it equilibrates. The triad is empirically irreducible.
Prediction: Biological systems—the ones we associate with consciousness—cluster near ρ ≈ 1. They live at the edge where the triadic structure becomes necessary. Inert matter sits at ρ ≪ 1.

The Consciousness Threshold: D = 1.5

The aperture exists in fractal dimension. The framework tracks progress through a balance parameter β:

β = |⊛| / (|⊛| + |☀|)

β = convergence / (convergence + emergence)
β → 0: pure emergence (gate open, power floods). β → 1: pure convergence (gate closed, power collapses).

At balance (β = 0.5), where convergence equals emergence—where progress equals remaining:

Daperture = 1 + β = 1.5

The fractal dimension where binary gating and analog flow are balanced.
Mind needs both—the selection (digital) and the signal (analog).

Status of D = 1.5: This is a correspondence, not a derivation from first principles. We observe that: (1) D = 1.5 emerges at β = 0.5 (balance); (2) D = 1.5 is independently the Hausdorff dimension of Brownian motion (Mörters-Peres theorem); (3) Resting-state EEG fractal dimensions cluster around 1.4–1.7 in wakefulness, dropping in unconsciousness. The framework does not claim to derive D = 1.5 from axioms—it claims this correspondence is suggestive and testable. The falsification lives in whether biological systems actually cluster near this value.

Hypothesis: Conscious dynamics preferentially occupy balance-like regimes where digital gating and analog flow are co-present. If true, D ≈ 1.5 is a signature of consciousness. If false—if conscious systems scatter across fractal dimensions with no clustering—this prediction fails.

5. Falsifiable Predictions

Cross-Scale Phase Coherence

If consciousness is the whole triadic pattern operating together, we should see specific signatures when the pattern functions or fails:

Prediction 1: Flow States

Phase coherence between EEG, HRV, and respiration should correlate with self-reported "presence" or flow states. Higher coherence = more integrated experience.

Prediction 2: Anesthesia

During anesthesia induction, cross-scale phase coherence should degrade concurrently with or prior to loss of complexity signatures in single components. The binding fails with or before the parts fail. (Directional support: propofol/sevoflurane studies show phase-coupling disruption as early marker.)

Prediction 3: Social Isolation

Social isolation should degrade individual phase coherence over time ("resonance starvation"). The field needs external signal to maintain structure. Longitudinal HRV/EEG coherence should differ between isolated and socially connected individuals.

Prediction 4: Shared Rhythm

Shared rhythmic activities (drumming, chanting, synchronized movement) should produce measurable inter-brain phase synchronization. The degree of sync should correlate with subjective reports of "connection."

The ρ Parameter

Prediction 5: Biological Clustering

Biological systems capable of consciousness cluster near ρ ≈ 1 (criticality). Systems at ρ ≪ 1 (rocks, simple equilibrium systems) do not exhibit irreducible triadic dynamics.

Prediction 6: Model Failure

For systems at ρ > 2, two-variable models (center + boundary only) will systematically fail to predict behavior. For systems at ρ < 0.5, two-variable models will succeed.

Power and Temporal Predictions

Prediction 7: Power-Temporal Correlation

Systems with higher temporal resolution (more ÷t operations per second) should consume more power. Neural systems with faster temporal processing should show higher metabolic rates in relevant regions.

Prediction 8: Aperture Restriction and Time

Conditions that restrict aperture function (anesthesia, deep meditation, flow states) should alter subjective time perception in predictable ways. Fewer ÷t operations = time feels different.

Prediction 9: Discrete Temporal Signatures

If time is fundamentally discrete at the aperture level, there should be a minimum temporal resolution (~10-50ms in neural systems) below which events cannot be sequentially distinguished—the "frame rate" of consciousness.

Structural Falsification (Core Theory)

The core theory is falsified if any of the following is demonstrated:

Note: These are structural tests. People have attempted these reductions for decades (in physics, computation theory, philosophy of mind). Consistent failure is not proof—but it is evidence.

Parametric Falsification (Specific Claims)

The specific predictions are falsified if:

Note: Parametric falsification would refine or reject specific claims without necessarily refuting the core structural theory.

Primary Empirical Anchor: Neural Criticality

To transition from framework to theory, we commit to one primary domain where the predictions are most directly testable: neural dynamics at criticality.

Why neural criticality? This domain already has: (1) established measurement techniques (avalanche analysis, branching ratio σ, fractal dimension); (2) documented state-dependence (awake vs. anesthetized vs. sleep); (3) existing theoretical framework (Beggs, Plenz, Shew); (4) clear interventions (anesthesia, stimulation, pharmacology). The circumpunct theory makes specific claims that can be tested against this literature.

Specific Commitments

Claim Measurable Prediction Existing Data
ρ ≈ 1 for conscious systems Branching ratio σ clusters near 1.0 in awake cortex ✓ Confirmed (Beggs & Plenz 2003, Shew et al. 2009)
Anesthesia shifts ρ away from 1 σ deviates from criticality under propofol/sevoflurane ✓ Confirmed (Ribeiro et al. 2010, Tagliazucchi et al. 2016)
D ≈ 1.5 at conscious balance EEG fractal dimension clusters 1.4-1.7 in wakefulness ~ Partial (various; needs systematic review)
Cross-scale coherence tracks consciousness EEG-HRV-respiration phase coupling degrades under anesthesia ~ Partial (Purdon et al. 2013; needs direct test)
Triadic irreducibility at ρ ≈ 1 Two-variable models fail for systems at σ ≈ 1 ? Untested (proposed novel test)

The Critical Test

The most diagnostic prediction is triadic irreducibility. If the theory is correct:

Critical Test: Model Comparison

For neural systems at σ ≈ 1 (criticality), models with three dynamical variables (aperture state + field state + boundary state) should systematically outperform two-variable models in predicting avalanche statistics, response to perturbation, and state transitions. For systems at σ ≪ 1, two-variable models should suffice.

This test is novel. It has not been performed. It could falsify the core claim about triadic necessity.

Research program: The immediate next step is to calculate ρ (or its proxy σ) for a specific neural preparation (e.g., cortical slice, in vivo recording) and test whether triadic models outperform dyadic models in the critical regime. This is tractable with existing data and techniques.

6. Relation to Existing Theories

The theory doesn't replace IIT or GNW but reframes what they're measuring:

Integrated Information Theory (IIT)

Tononi's Φ may be capturing the field component—the degree of integrated mediation between parts. IIT measures how much the field binds.

Global Neuronal Workspace (GNW)

Global broadcast may be capturing the aperture's selective function—what gets through the gate to become globally available. GNW measures what the aperture passes.

The triadic view suggests these are measuring different aspects of a single structure rather than competing definitions. Integration (Φ) and broadcast (•) are both necessary—neither alone is consciousness. The theory unifies them as components of the circumpunct.

What the Theory Adds

Connection to Thermodynamics

If consciousness involves power transfer (P = E/t), it must obey thermodynamic constraints. Several connections emerge:

Open connection: A full integration with non-equilibrium thermodynamics would require specifying how ρ relates to entropy production rate, how β maps to dissipation efficiency, and what thermodynamic signatures distinguish conscious from non-conscious systems at matched metabolic rates. This is a research program, not a solved problem.

7. Nesting: Consciousness at Every Scale

Circumpuncts nest through their boundaries. The boundary contains apertures—gates, holes, points of exchange. Each aperture in the boundary serves as the center of a complete circumpunct at smaller scale:

n+1 = ⊙n

Previous whole becomes next center. Each completed circumpunct can serve as the aperture for a larger structure.

Your skin has pores. Your cell membranes have channels. Your sense organs are apertures in your body's boundary. Each aperture is irreducible—but each aperture is the center of a complete system at smaller scale.

Structural panpsychism, not experiential equivalence. If surface = field = mind, and it's surfaces all the way down, then it's mind all the way down. But this doesn't mean electrons have human-like experiences. It means the circumpunct pattern (⊙) is fundamental, while phenomenal consciousness as we experience it requires sufficient nesting depth and complexity at biological scales.

This is a form of structural cosmopsychism: what we call "matter" is the boundary appearance of nested circumpunct structures from a scale that can't resolve their internal dynamics. Consciousness isn't an emergent property of dead matter—but micro-scale "mind" is not identical to macro-scale phenomenal experience.

8. Open Questions

The framework generates predictions but leaves genuine uncertainties. These are not rhetorical—they represent actual research needed to move from framework to theory.

Quantitative Gaps

Mechanistic Gaps

Conceptual Gaps

The honest status: This is currently a framework—a way of organizing the problem—not yet a theory—a way of calculating answers. The difference is quantitative predictions. The next milestone is one concrete number that can be measured.

Conclusion

The Circumpunct Theory of Consciousness proposes that consciousness is not located in any component but is the irreducible pattern of aperture, field, and boundary operating together.

The aperture is the ÷t—the division operation that converts timeless energy into temporal power. This is the origin of time itself. The field carries energy (potential, future) before the aperture and power (actual, present) after. The boundary accumulates crystallized power transfers—matter, body, the past made structural.

The framework generates specific, falsifiable predictions around cross-scale phase coherence, the ρ parameter, the D = 1.5 fractal dimension at balance, and the relationship between power consumption and temporal resolution. It reframes existing theories (IIT, GNW) as partial captures of a single triadic structure rather than competitors.

P = E / t

The aperture IS the division.
Energy becomes power becomes matter.
Time begins at the crossing.

References & Related Work

Criticality & Avalanches: Beggs & Plenz (2003), "Neuronal avalanches in neocortical circuits." J Neurosci. | Shew & Plenz (2013), "The functional benefits of criticality in the cortex." Neuroscientist.

Anesthesia & Phase Coherence: Mashour & Hudetz (2018), "Neural correlates of unconsciousness in large-scale brain networks." Trends Neurosci. | Purdon et al. (2013), "Electroencephalogram signatures of loss and recovery of consciousness." PNAS.

Fractal Dimension: Mörters & Peres (2010), Brownian Motion. Cambridge University Press. (D = 1.5 for Brownian motion graph.)

Integrated Information Theory: Tononi et al. (2016), "Integrated information theory: from consciousness to its physical substrate." Nat Rev Neurosci.

Global Workspace Theory: Dehaene & Changeux (2011), "Experimental and theoretical approaches to conscious processing." Neuron.

Inter-brain Synchrony: Dumas et al. (2010), "Inter-brain synchronization during social interaction." PLoS ONE.

Discrete Time in Perception: VanRullen & Koch (2003), "Is perception discrete or continuous?" Trends Cogn Sci.

Dissipative Structures: Prigogine & Stengers (1984), Order Out of Chaos. Bantam. | Prigogine (1997), The End of Certainty. Free Press.

Free Energy Principle: Friston (2010), "The free-energy principle: a unified brain theory?" Nat Rev Neurosci. | Friston et al. (2017), "Active inference and learning." Neurosci Biobehav Rev.