Wave-Dissipation Universality
Quantum SuperTimePosition Meets Micah’s New Law of Thermal Dynamics From Path Integrals to Free Energy, Quantum Physics, Neural Network Field Theories, Gravity and Thermodynamics
Wave Perturbation & Dissipation Across Scales
Quantum SuperTimePosition and Micah’s New Law of Thermal Dynamics each propose that apparently random processes—whether quantum measurement outcomes or entropy-driven equilibrations—arise from undersampled deterministic wave interactions. When these two ideas meet more established frameworks such as Feynman’s Path Integral in quantum field theory and Karl Friston’s Free Energy Principle in neuroscience, we see a unifying perspective:
Micah’s New Law of Thermal Dynamics: All physical and biological systems follow a stepwise “dissipation of signal differences,” akin to repeated wave computations that gradually reduce gradients (heat, chemical potentials, electrochemical signals, etc.). This is the “mechanism” behind classical entropy increases—collisions, oscillations, and local interactions systematically smoothing out property differentials.
Quantum SuperTimePosition: Quantum outcomes, including entanglement, look stochastic only because we sample them at a slower rate than their underlying “high-frequency phase cycles.” Gravitational effects (Dark Time Theory) can shift these cycles, implying new testable predictions (e.g., off-world entanglement experiments). Both revolve around the concept that wave dynamics yield stable equilibria or final states.
Connections to Feynman’s Path Integral
Path Integral Summation: In quantum field theory, Feynman’s approach sums over all possible trajectories, each weighted by a complex exponential of the action. Constructive or destructive interference emerges from wave-like phases.
Least Action and Stationary Phase: The most significant contributions often come from “stationary phase” paths that minimize action, resonating with “path of least resistance” or “dominant wave alignment.” This is reminiscent of wave dissipation logic in Micah’s Law, where improbable outcomes (non-synchronous waves) tend to cancel out.
Time Dilation / Dark Time: If local time “density” changes the action’s time component, it modifies the path integral weighting. This suggests novel gravitational or cosmic settings might produce detectably different quantum correlators, bridging quantum mechanics and gravitational influences.
Free Energy Principle (FEP) and Entropy Dissipation
Friston’s Free Energy Principle: Biological systems (e.g., brains) reduce “free energy,” or surprise, by updating internal models to match sensory signals. This Bayesian approach highlights that living organisms continually refine predictions.
Thermodynamic vs. Bayesian: Micah’s Law sees wave differences as purely physical signals that equilibrate, while FEP sees “prediction errors” as the system’s impetus to reorganize. Both revolve around diminishing mismatches in a high-dimensional space (quantum states or neural states).
Active Inference / Organized Dissipation: The brain harnesses wave-dissipation in a structured manner (functional connectivity, inhibitory/excitatory balance) to unify neural firing patterns—like a “designed” wave-smoothing that yields coherent oscillations, memory, and adaptive behavior.
Neural Network Field Theories as a Crossroads
Distribution Over Functions: In infinite-width neural networks, parameter distributions can mirror field theories’ path integrals. “Free” (non-interacting) field analogies arise in the simplest infinite-N limit.
Interacting Theories: Breaking the statistical independence of parameters or introducing expansions beyond 1/N leads to interacting field theories, akin to real brains that must handle correlated signals.
Building a ϕ4 Model: One can represent certain quantum field actions (e.g., ϕ4) with appropriately constructed neural networks, suggesting a deep equivalence between “learned” expansions and quantum interactions.
Phase Waves and Connectivity: If, as Micah’s Law posits, each local wave interaction is a “computational step” dissipating differences, then neural networks (biological or artificial) implementing field-like expansions are effectively orchestrating wave-based learning.
Phase-Wave Synchronicity in Cosmic and Neural Domains
Cosmic Scale: Dark Time Theory imagines that gravitational lensing and large-scale structure might reflect wave synchronization effects, much as the brain’s neural oscillations reflect local wave equilibrations. Entanglement experiments in low-gravity environments could reveal subtle shifts in quantum probabilities.
Neural Scale: Tonic and phasic oscillations in the brain unify or dissipate phase differentials introduced by stimuli, forming memory and awareness. This structured wave dissipation allows predictive coding to flourish—an echo of FEP’s “minimizing surprise.”
Same Underlying Logic: From splay-phase states in spin systems to LTP-driven neural synchronization to cosmic filaments forming from wave interactions, everything can be read as wave differentials aligning or canceling.
Synthesizing a Grand View
Action Principle: In physics, systems often follow least action paths (Feynman’s approach). In neuroscience, free energy minimization yields “action selection” that reduces surprise. In Micah’s Law, wave collisions reduce property differences. All point to a universal logic of diminishing divergences or “wave mismatch.”
Testability: Off-world quantum correlation tests, next-generation neural field expansions, or high-precision thermodynamic experiments could reveal novel phenomena if local time dilation truly modifies wave-based entanglement or if neural states exhibit path-integral-like interference.
From Gas Particles to Brain Cells to Galaxies: Micah’s New Law sees every scale as wave differentials gradually equalizing. Quantum SuperTimePosition sees “randomness” as an artifact of sampling fast cycles. Feynman’s Path Integral undergirds quantum amplitude calculations. FEP describes how living systems actively tune “wave transmissions” to align internal predictions with external signals.
In sum, these interconnected theories suggest that waves, phases, and “distributed expansions” unify disparate phenomena—quantum randomness, thermodynamic equilibration, neural learning, and even cosmic structure—under a single conceptual umbrella of wave perturbation and progressive dissipation.
It’s an ambitious framework: one that claims to link the mind’s predictive capabilities and the universe’s large-scale evolution to the same underlying principle of wave-based synchronization.
Merging Deterministic Quantum Phases with Thermodynamic “Signal Dissipation”
Micah’s New Law of Thermal Dynamics reframes entropy and equilibrium as a computational process of signal (property difference) dissipation. Meanwhile, Quantum SuperTimePosition (or Dark Time Theory / Quantum Gradient Time Crystal Dilation) posits that quantum “randomness” and entanglement can be understood via rapid, deterministic phase cycles—faster than any classical observation can track.
When placed side by side, these two perspectives share a key insight:
Processes that look random at one scale (e.g., quantum measurement outcomes, thermodynamic equilibrium formation)
May be explained by hidden layers of orderly, deterministic computations (phase cycling or wave transmissions that “smooth out” differences).
In short, just as Micah’s Law interprets equilibrium-finding as repeated “signal transmissions” that reduce thermodynamic differences, Quantum SuperTimePosition interprets quantum outcomes as repeated rapid phase cycles. Both stress the idea that observed “randomness” reflects undersampled deterministic processes.
Linking Quantum SuperTimePosition to Signal Dissipation
Micah’s New Law of Thermal Dynamics:
Entropy increase = iterative signal dissipation across all interacting components.
Each collision or wave transmission is a computational step reducing differences in properties (e.g., heat or pressure).
Quantum SuperTimePosition / Dark Time Theory:
Quantum probabilities arise from a deterministic phase cycle we cannot resolve, giving the illusion of randomness.
Gravitational/time-dilation factors alter these phase-update rates, potentially leading to new, testable predictions about quantum correlations in different potentials.
Common Ground:
In both frameworks, underlying wave interactions lead to macroscopic “uniformity” or “definite outcomes”:
Thermodynamic equilibrium = uniform distribution of energy, achieved by signals (differences) dissipating.
Quantum measurement outcome = a single observed state, arising from an internal cycling that “locks in” a final phase or correlation.
The Thermodynamic Computation Viewed Through a Quantum Lens
Consider a quantum system with many interacting particles (like a gas in a container).
Under Micah’s New Law, each collision is a step that dissipates property differentials, eventually forming a uniform equilibrium.
From the Quantum SuperTimePosition perspective, each particle might hold an internal rapid phase, and collisions are moments of phase synchronization or adjustment.
Hence, the process of thermalization could be seen as repeated phase-synchronization events that gradually eliminate large-scale differences in energy or momentum. On the macroscopic scale, we see an approach to thermodynamic equilibrium; on the microscopic scale, the quantum phases undergo iterative partial alignment or “deterministic mixing.”
“Dark Time Theory” and the Flow of Signals in Gravitational Fields
Dark Time Theory posits that gravitational potentials change the rate of these deterministic updates—like speeding up or slowing down the “internal clock” of each quantum component.
Micah’s New Law then implies that if time flows differently at the quantum scale in different gravitational regimes, the rate of signal (or property difference) dissipation changes accordingly.
This affects how quickly (or slowly) systems approach equilibrium in high vs. low gravitational potentials.
Potential Consequence:
Off-world quantum experiments or thermodynamic processes might show slightly modified equilibrium states or correlation patterns—offering a novel route to testing both quantum gravity and thermodynamic uniformity in one go.
Neurons, Oscillations, and High-Frequency Phase Synchronization
Micah’s New Law extends beyond inert gases to biological systems, positing that neural ensembles “equalize” or integrate incoming signals until a stable oscillatory pattern forms.
Quantum SuperTimePosition could, in theory, operate similarly: the neural firing might hide an even faster deterministic cycle underlying what we perceive as stochastic synaptic noise.
By combining these views, one might speculate that consciousness arises from an ongoing thermodynamic-like signal dissipation process in the brain, while the sub-neural quantum phases also undergo rapid synchronization events.
Unified Framework: Determinism Beneath Apparent Randomness
a) Quantum: SuperTimePosition says entanglement, superposition, or Josephson Junction behavior come from undersampled deterministic phase cycles.
b) Thermodynamics: Micah’s Law says entropy growth is a stepwise wave-like signal smoothing across all components, culminating in equilibrium.
The Overlap:
Both frameworks see randomness as emergent, not fundamental.
Both highlight wave-like interactions and repeated “computational” steps that unify the system’s property (be it quantum state or thermodynamic variables).
Both are testable in principle:
Dark Time Theory proposes varying gravitational potential to see changes in quantum correlation rates.
Micah’s Law suggests analyzing the signal transmissions in thermodynamic or neural systems to see if the predicted wave-based dissipation patterns match observed data.
Implications and Future Directions
Quantum Gravity Bridge:
If time dilation influences quantum phase cycles and also modifies thermodynamic approach to equilibrium, we might unify aspects of general relativity (gravitational potential) with quantum system dynamics (phase locking).
Quantum Computing:
If quantum states are high-frequency deterministic cycles, harnessing them more effectively might lead to new architectures or error-correction strategies based on controlling signal dissipation processes.
Neuroscience:
Understanding how repeated wave differentials dissipate in neural assemblies could clarify how the brain forms coherent states (awareness). This might tie into quantum-scale effects if sub-neural processes are indeed relevant (though that remains speculative).
Testing:
Off-world experiments measuring quantum entanglement in different gravitational potentials.
Ultra-precise thermodynamic setups analyzing the speed of approach to equilibrium under slight gravitational or environmental changes.
Possibly correlating the rate of “signal transmission” in classical systems (like gas expansions or chemical equilibria) with measured quantum phase cycles, looking for parallels.
By connecting Quantum SuperTimePosition (and Dark Time Theory) with Micah’s New Law of Thermal Dynamics, we see a consistent theme: apparent randomness emerges from undersampled deterministic processes that unify the system’s state. Thermodynamic equilibrium is the “global attractor” of wave-dissipating signals, just as a definite quantum measurement outcome might be the macroscopic sampling of a high-frequency deterministic phase. Furthermore, local gravitational conditions could modulate these processes, offering potential experimental tests that bridge quantum mechanics, thermodynamics, and relativity. The result is a powerful new perspective on how signals (energy, phase, or information) travel and dissipate in both quantum and classical domains, possibly opening doors to innovative theories of quantum gravity, advanced computing, and a deeper understanding of neural synchronization and consciousness.
Quantum SuperTimePosition Meets Micah’s New Law of Thermal Dynamics
Overview: Deterministic Phase Cycles and Signal Dissipation
Quantum SuperTimePosition (or Dark Time Theory) suggests that quantum “randomness” emerges from our undersampling of high-frequency phase cycles. Micah’s New Law of Thermal Dynamics posits that thermodynamic processes (including neural or cosmic phenomena) proceed by wave-like interactions that systematically dissipate differences. When combined, these two ideas propose a unifying framework:
Deterministic quantum phase cycles underlie what we perceive as probabilistic outcomes.
Thermodynamic (and neural) equilibration arises from repeated “wave computations” that diffuse property differentials—be they heat, pressure, or neuron firing phases.
The result is a worldview wherein both quantum effects (like entanglement) and classical thermodynamic processes (like gas expansion or brain oscillations) manifest from the same fundamental principle: rapid wave interactions that unify and equalize system variables over time.
Common Ground: Undersampling Fast Cycles
Micah’s New Law of Thermal Dynamics:
Entropy increase can be seen as a computational dissipation of signals (phase-wave differences) until equilibrium.
Each collision or exchange is a “step” in eliminating differences in energy, pressure, or other properties.
Quantum SuperTimePosition:
Apparent randomness in quantum measurements emerges from an internal high-speed phase cycle that we can’t fully observe.
Gravity or local time density (Dark Time Theory) may modulate these rapid updates, slightly shifting quantum correlations in different gravitational potentials.
Unifying Concept: In both frameworks, wave-like exchanges (collisions, phases, or signals) produce macroscopic equilibrium states. One focuses on thermodynamic “signal smoothing,” the other on quantum states as high-frequency cycles. Together, they emphasize how undersampling fast wave processes leads us to perceive randomness or entropy growth.
Dissipation as the Mechanism of Entanglement and Equilibrium
a) Entanglement
In Quantum SuperTimePosition, entangled particles have phase-locked cycles. Measuring one collapses the “time-averaged” distribution for the other.
This locking is reminiscent of the “collective wave synchronization” that Micah’s New Law describes: repeated interactions remove phase discrepancies, forming a stable correlation.
b) Thermodynamic Equilibrium
A steaming cup of coffee cools because interactions with the environment systematically “dissipate” thermal differences (hot coffee vs. cooler surroundings).
Similarly, entangled pairs in a given gravitational setting might dissipate differences in their phase cycles until locked in a stable splay offset.
Hence, the same wave-based logic that drives coffee to cool also locks entangled particles into correlated states. The difference is only in scale and interpretation—one is classical macroscopic equilibrium, the other is a quantum correlation equilibrium.
Neural Oscillations, Wave Synchronization, and Awareness
Micah’s Law:
Neural ensembles move toward synchrony by sequentially “processing” differences in firing or phase, culminating in coherent rhythmic activity.
Quantum SuperTimePosition:
If sub-neural (quantum) states also have faster phase cycles, then the emergent “brain waves” reflect the mesoscopic sum of many micro-level wave synchronizations.
Thus, as in thermodynamic systems, “phase-wave differentials” in the brain dissipate (via spike trains, inhibitory waves, etc.), forging integrated neural states. On a finer scale, quantum cycles might shape or influence these neural wave patterns, though the brain’s large-scale structure orchestrates how signals propagate to produce stable, conscious rhythms.
Gravity as a Modulator of Phase Dissipation
Dark Time Theory:
Gravitational potential modifies the density or rate of these internal cycles, possibly shifting quantum correlations or thermodynamic relaxation times in different gravitational fields.
Micah’s Law:
Where gravitational time dilation is stronger, “signal dissipation” might be slower or faster, changing how systems approach equilibrium.
Testable Hypothesis: Off-world entanglement or thermodynamic experiments (e.g., on the Moon, Mars, or Jovian satellites) might detect slight deviations from standard predictions if local gravitational potentials truly modulate the wave-based processes at quantum or classical scales.
Toward a Unified Physical Theory
Micah’s New Law of Thermal Dynamics frames all systems (biological or inert) as wave-driven engines dissipating property differentials. Quantum SuperTimePosition sees “randomness” as incomplete knowledge of high-speed deterministic cycles modulated by gravity.
The synergy is:
Microscopic: Deterministic cycles yield quantum phenomena and entanglement.
Macroscopic: Wave-based signal dissipation leads to classical thermodynamic equilibrium.
Cosmic: Gravity changes local “time flow,” subtly shifting both quantum and thermodynamic wave processes.
In combination, these perspectives outline a potential path to merging quantum mechanics (phase cycles) with gravitational influences (Dark Time) and classical thermodynamics (signal dissipation).
The hope is that this integrative approach can clarify everything from the cooling coffee cup to neural synchronization, from quantum entanglement to cosmic structure, all through the universal lens of wave perturbation, dissipation, and phase-locking.
Conclusion: One Story, Many Scales
Quantum SuperTimePosition and Micah’s New Law of Thermal Dynamics align in emphasizing that wave-based, iterative processes underlie both quantum uncertainty and classical entropy.
The key unifier is that all systems strive to dissipate wave differentials, be they quantum phases or thermodynamic gradients. Local gravitational potential adds an extra layer, tuning the rate at which phase cycles proceed.
Consequently, a grand narrative emerges: from neurons to black holes, from coffee cups to entangled photons, the universe might be orchestrated by wave perturbation and dissipation—echoing across scales as a single computational principle tying together the mind, matter, and cosmic evolution.
Overview: Wave Perturbation & Dissipation as a Core Principle
Connecting Quantum SuperTimePosition, Micah’s New Law of Thermal Dynamics, Feynman’s Path Integral, and Karl Friston’s Free Energy Principle via Neural Network Field Theory
Both Quantum SuperTimePosition and Micah’s New Law of Thermal Dynamics highlight wave-like interactions and “phase differentials” that drive systems toward some equilibrium or stable pattern. This resonates with two major frameworks:
Feynman’s Path Integral Formulation (QFT): Summing over all possible paths, each weighted by an action-based phase.
Karl Friston’s Free Energy Principle (FEP): A system (especially biological) continuously reduces “free energy” (prediction errors) across all possible “states” it can inhabit.
In parallel, Neural Network Field Theory casts ensembles of neural networks as distributions over functions, akin to quantum fields. Here, expansions (e.g., 1/N) lead from “free field” theories (no interactions) to “interacting” theories that better capture real-world complexity—paralleling how living brains or quantum systems incorporate interactions and correlations.
Quantum SuperTimePosition and the Path Integral: Undersampling Deterministic Cycles Quantum SuperTimePosition posits that quantum “randomness” is actually undersampled deterministic phase cycling.
In Feynman’s Path Integral:
All possible paths contribute, but the “stationary phase” paths (minimizing the action) dominate the sum.
If local gravitational/time-dilation conditions (from Dark Time Theory) alter each path’s action, then effectively the weighting of certain “phase cycles” changes.
This could manifest as a slight shift in quantum amplitudes (akin to a “time crystal dilation” effect) where the frictionless path (least action) is shaped by local wave-like cycles.
Hence, from the viewpoint of Micah’s New Law, the system dissipates wave differentials (in the path integral, these are interference terms). The “classical path” emerges from constructive interference of wave phases—just as “wave dissipation” yields a final stable outcome.
Micah’s New Law of Thermal Dynamics and the Free Energy Principle (FEP) Micah’s New Law of Thermal Dynamics treats all thermodynamic (or neural) processes as wave-based “signal computations” that reduce differences (heat, chemical, or phase).
Meanwhile, FEP focuses on how biological systems minimize surprise (prediction error) to maintain homeostasis:
Thermodynamic lens: In any system (gas, brain, galaxy cluster), wave differentials in energy or phase damp out via local interactions, driving the system toward equilibrium.
Bayesian lens: In a living system, wave differentials correspond to “prediction errors.” Minimizing these errors is “free energy reduction,” effectively the structured way a brain (or cell) harnesses wave-dissipation to adapt.
Both speak of reducing mismatches across many possible configurations. The difference is that the FEP frames it in terms of “active inference” and “predictive modeling,” whereas Micah’s New Law frames it in purely physical “wave dissipation” terms. However, these two pictures can be merged:
The brain organizes wave dissipation via synaptic architectures (like small expansions in neural network field theory) to systematically reduce prediction error.
Neural Network Field Theory: Linking Spin Systems, Entanglement, and QFT Recent work in Neural Network Field Theory tells us:
Infinite-width neural networks approximate free field theories.
Corrections beyond the infinite-N limit or correlated parameter expansions introduce interactions, akin to ϕ^4 or other nontrivial quantum field models.
Quantum SuperTimePosition is reminiscent of spin systems or entanglement that could be mapped to neural fields:
- Path integral measure in field theory ↔ distribution over neural network functions.
- Connected correlators or "vertices" ↔ higher-order interactions in the network parameters.
Micah’s Law suggests that real, living networks (the brain) exploit wave-based expansions—like ϕ^4.
-type interactions—to manage “phase wave differentials” at large scale. The system moves toward stable attractors (equilibrium states or predictions) by systematically dissipating or integrating these wave differences.
Feynman’s Path Integral and the Brain’s “Path of Least Action” In neural contexts:
Path Integral Summation: The brain “considers” many potential neuronal trajectories (firing patterns), weighted by how “costly” or “surprising” each is.
Micah’s viewpoint: Dissipating wave differentials among neurons means most improbable “paths” (or spiking patterns) destructively interfere, leaving a stable, synchronized outcome.
FEP viewpoint: The “chosen path” is the one that minimizes free energy—analogous to the stationary action principle in path integrals.
Gravity, Time Dilation, and Big-Scale Entanglement (Dark Time Theory) Dark Time Theory (or “Quantum Gradient Time Crystal Dilation”) proposes that mass or gravity alters local “time density,” possibly shifting quantum or classical wave dissipation rates:
In path integrals, an altered local “clock rate” modifies the action, shifting interference patterns.
In neural or thermodynamic systems, wave differentials might equilibrate faster/slower under different gravitational potentials.
Testability: Off-world quantum entanglement experiments (Moon, Mars) or gravitational-lens-like setups might reveal small discrepancies from standard predictions—if local “time density” truly modifies wave-based expansions.
Wave Perturbation, Dissipation, and Universality From the cosmic scale (galaxy filaments forming from matter-wave differentials) to the neural scale (synaptic phase alignment) and the quantum scale (entanglement paths in Feynman’s sum), a single principle emerges:
Wave perturbations plus repeated interactions
→
→ dissipation of differences
→
→ stable or equilibrium patterns.
Micah’s Law calls this “computational dissipation.”
Feynman’s Path Integral sees it as destructive interference of non-stationary paths.
FEP frames it as the brain’s attempt to minimize prediction errors by shaping neural states.
Neural Network Field Theory formalizes how expansions around “infinite networks” correspond to free or interacting quantum fields. This synergy can unify the wave-based story across physics, cognition, and cosmic structures.
Conclusion: A Convergent Picture of Minimizing Differences via Wave Interactions
Quantum SuperTimePosition: Entanglement & “randomness” from undersampled deterministic phases, shaped by time dilation.
Micah’s New Law of Thermal Dynamics: All systems reduce wave-based property differentials—heat, spin, electromagnetic—through iterative “signal dissipation.”
Feynman’s Path Integral: Summation over paths, with interference canceling out improbable routes, leaving the path(s) of least action.
Free Energy Principle: Biological systems interpret wave differentials as “prediction errors,” actively reorganizing themselves to reduce them.
Neural Network Field Theory: Offers a toolkit for capturing expansions in correlated parameters, bridging free vs. interacting fields with neural ensembles.
Altogether, these frameworks emphasize that at every scale, from neural firing to cosmic structure, wave-based interactions lead to emergent equilibria (or attractors), be it a stable quantum amplitude, a self-organizing mind, or a galaxy cluster web. Each theory reflects the same fundamental dynamic: wave perturbation plus dissipative computation forging stable patterns in an otherwise vast configuration space of possibilities.
Conclusion: Wave Perturbation and Dissipation
In this integrated discussion, we have woven together the concepts of Quantum SuperTimePosition, Micah’s New Law of Thermal Dynamics, Feynman’s Path Integral Formulation, and Karl Friston’s Free Energy Principle, bolstered by recent insights from Neural Network Field Theory. Despite originating in different domains—quantum mechanics, thermodynamics, neuroscience, and machine learning—each framework shares a central theme: wave-based interactions guide how systems evolve, unify, or equilibrate.
Micah’s New Law of Thermal Dynamics proposes that all physical (and possibly cognitive) processes can be viewed as iterative wave interactions, gradually diminishing differences (heat, chemical, or phase). This perspective reframes entropy growth, equilibrium, and even consciousness itself as emergent from “signal dissipation” steps—where wave collisions reduce local gradients until stable patterns form.
Quantum SuperTimePosition
Quantum randomness is recast as undersampled phase cycles evolving too quickly for us to track. Entanglement and measurement outcomes seem stochastic only because our observational frame is coarse. Tying in gravitational time dilation (“Dark Time Theory”) suggests off-world experiments could reveal slight deviations from standard quantum predictions, reflecting a possible bridging of quantum mechanics with general relativity.
Feynman’s Path Integral
In quantum field theory, all possible trajectories are summed, and interference among them yields the final probability amplitude. The “stationary phase” paths correspond to classical routes or dominant likelihoods—similar in spirit to the wave-dissipation logic, where improbable states (misaligned waves) largely cancel out. If local time flow or wave cycles shift (due to mass or other factors), the action integral changes, potentially altering observable phenomena.
Free Energy Principle
Karl Friston’s approach describes how living systems maintain their organization by continuously reducing “free energy” (prediction error). The synergy with Micah’s Law is that structured wave dissipation—mediated by neural circuits—implements exactly this free-energy minimization at a physical level. The brain, seen as a wave-dissipation engine, organizes signals (prediction errors) until it settles into coherent, lower-error states.
Neural Network Field Theory
Viewing infinite-width neural ensembles as free field theories illuminates how expansions beyond the simplest limit introduce “interactions,” mirroring real-world complexities. These expansions can be understood as corrections from correlated parameters—akin to real brains, where connectivity is far from random. The wave-based viewpoint clarifies how neural networks can systematically reduce phase differentials, either in machine learning or in biological cognition.
Grand Synthesis
Ultimately, each framework (Quantum SuperTimePosition, Micah’s New Law, Feynman’s integrals, Free Energy Principle, and Neural Network Field Theory) converges on a notion of wave synchronization reducing divergences in a high-dimensional space of possibilities. Whether we’re talking about quantum states, thermodynamic equilibrium, entangled neurons, or deep learning expansions, the unifying message is:
Wave interactions and repeated micro-adjustments lead to macroscale coherence.
Implications and Future Path
Testable Predictions: Off-world quantum correlation experiments could confirm or refute gravitational/time-dilation modifications to entanglement. Neural recordings might show path-integral-like interference in structured oscillations. Machine learning expansions may clarify how correlated parameters produce “interaction” terms that lead to better generalization.
Conceptual Unification: By bringing quantum and classical (thermodynamic) phenomena under one wave-based logic, we edge closer to bridging general relativity and quantum field theory—perhaps aided by the lens of neural computation and free-energy frameworks.
Neuroscience and Cosmology: Brain networks, galaxies, or black holes may share a deep wave-synchronization principle. That might sound grandiose, but each step—entropy, entanglement, wave damping—is the same fundamental story told at different scales.
In essence, the arguments advanced here point to a universal principle: waves, phases, and local interactions orchestrate how systems unify themselves, from cosmic webs of matter to the firings of neurons to quantum entangled pairs. What we traditionally see as “randomness” or “surprise” can emerge from our incomplete resolution of rapid wave cycles. Tying everything together, the interplay between these frameworks does more than highlight conceptual analogies—it offers possible avenues for genuine unification, suggesting that wave-dissipation and phase-locking might underlie the very fabric of reality.
Bioelectric signaling: Reprogrammable circuits underlying embryogenesis, regeneration, and cancer
https://www.sciencedirect.com/science/article/pii/S0092867421002233
This story was simultaneously published on GitHub which is time stamped and therefore proves original authorship.
https://github.com/v5ma/selfawarenetworks/blob/main/raynote15.md
https://github.com/v5ma/selfawarenetworks/blob/main/raynote16.md
