Micah's New Law of Thermodynamics

Micah’s New Law of Thermodynamics: A Signal-Dissipation Framework for Equilibrium, Consciousness, and Gravity
2025-02-05 | Journal article | Author: Micah Blumberg

DOI: 10.6084/m9.figshare.28264340
SOURCE-WORK-ID: 28264340
Contributors: Micah Blumberg

Original Publication Date: January 23, 2025 (v6)

Overview
Micah’s New Law of Thermodynamics proposes that the approach to equilibrium is not merely statistical but a sequential, wave-based computational process. Systems—from gases to neurons—dissipate differences in energy, momentum, or phase through local signal exchanges, converging toward equilibrium or stable attractor states. Entropy increase is reframed as the cumulative outcome of iterative computations, with implications that bridge physics and neuroscience.

Core Claims & Mechanisms

• Signal-dissipation dynamics: Nonequilibrium differences are resolved via stepwise, local interactions that propagate and diminish phase/energy mismatches.

• Coupled-oscillator grounding: Equilibrium is modeled with Kuramoto-like synchronization; neural oscillatory binding is treated as empirical evidence that brains dissipate phase differences through iterative interactions.

• Consciousness as synchronization: Conscious processes emerge from distributed wave synchronization across cortical networks, linking cognitive function to the same principles that govern thermodynamic relaxation.

• Gravity linkage: By tying dissipation to local phase dynamics, the framework provides a thermodynamic bridge to Dark Time Theory (SDT) and Super Information Theory (SIT), where gravitational effects are interpreted as consequences of phase-difference dissipation in local time-density fields.

Empirical Predictions & Falsifiability
The law is designed to be testable. It predicts:

• Monotonic synchronization trajectories in controlled oscillator arrays (electronic, photonic, or neural cultures) that map directly onto entropy production.

• Phase-sensitive calorimetry: measurable heat/energy-flow signatures tracking the rate of phase-difference dissipation during relaxation.

• Neurophysiology correlates: task-dependent shifts in coherence/phase-locking that quantitatively predict behavioral thresholds and reaction times via dissipation rate parameters.

• Cross-domain scaling laws: shared functional forms for relaxation curves across physical and neural systems when expressed in signal-dissipation coordinates.

Provenance & Priority Trail

• Conceptual origins (April 2017): Underlying ideas were first made public on the Neural Lace Podcast (YouTube, early April 2017).

• Program maturation (Summer 2022): The wave/time-density and signal-dissipation program was developed extensively in working notes on GitHub under v5ma, including Quantum Gradient Time Crystal Dilation (QGTCD, 2022).

• Figshare archive (Jan–Feb 2025): This work (v6 dated 2025-01-23) was archived on Figshare under DOI 10.6084/m9.figshare.28264340 (record date 2025-02-05).

• Relation to adjacent works: The law is contemporaneous with Super Dark Time (SDT, Draft 16 dated 2025-01-27; DOI: 10.6084/m9.figshare.28284545) and precedes Super Information Theory (SIT, February 2025; DOI: 10.6084/m9.figshare.28379318). It supplies the thermodynamic substrate for SDT/SIT’s phase-synchronization and time-density mechanisms.

• Current deposit: Because my Figshare account is suspended (likely in connection with ongoing scholarly priority disputes regarding originality), I am depositing this version here to ensure persistence, accessibility, and continuity of the record.

Placement in the Research Program (2017–2025)
Read alongside:

• Super Dark Time: Gravity Computed from Local Quantum Mechanics (January 2025; DOI above)

• Super Information Theory (February 2025; DOI above)

• Bridging Molecular Mechanisms and Neural Oscillatory Dynamics (2024)
  Together these works articulate a unified view in which signal-dissipation, coherence, and time-density connect thermodynamics, gravity, and cognition through local, testable mechanisms.

Purpose of This Deposit
This record preserves open access and citability during the Figshare suspension and maintains a clear, timestamped priority trail (2017 podcast → 2022 GitHub → 2025 formal DOIs). It supports transparent scholarly evaluation, replication, and cross-domain testing.

ORCID: https://orcid.org/0009-0004-5175-9532

(Optional Zenodo “Related identifiers” metadata)

• IsIdenticalTo → 10.6084/m9.figshare.28264340 (this Figshare DOI)

• IsReferencedBy / References → 10.6084/m9.figshare.28284545 (SDT), 10.6084/m9.figshare.28379318 (SIT), and relevant GitHub records (QGTCD, 2022)

TIMESTAMP EVIDENCE (WAYBACK MIRRORS)

Key evidence that Super Information Theory, Super Dark Time, and Micah’s New Law of Thermodynamics were published on figshare in the period between January & March 2025 can be found on Orch ID, and on the Wayback Machine.

Way Back Machine

ORCHID https://web.archive.org/web/20250826004755/https://orcid.org/0009-0004-5175-9532

The Wayback Machine for Super Information Theory https://web.archive.org/web/*/https://figshare.com/articles/journal_contribution/Super_Information_Theory/*

The Wayback Machine for Super Dark Time
https://web.archive.org/web/*/https://figshare.com/articles/journal_contribution/Super_Dark_Time_Gravity_Computed_from_Local_Quantum_Mechanics/*

The Wayback Machine for Micah’s New Law of Thermodynamics
https://web.archive.org/web/*/https://figshare.com/articles/journal_contribution/_b_Micah_s_New_Law_of_Thermodynamics_A_Signal-Dissipation_Framework_for_Equilibrium_and_Consciousness_b_/*

The Wayback Machine for Self Aware Networks: Oscillatory Computational Agency

The date that the Wayback machine preserved a copy is in the link “web.archive.org/web/20250725 = 2025 July 25th. Although I published the paper on May 16 which Orch ID confirms.

https://web.archive.org/web/20250725002526/https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/54589349/SelfAwareNetworksOCAFirstDraft.pdf?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIYCQYOYV5JSSROOA/20250725/eu-west-1/s3/aws4_request&X-Amz-Date=20250725T002525Z&X-Amz-Expires=10&X-Amz-SignedHeaders=host&X-Amz-Signature=3055babeb1b7245f2ad9169545181458b431b2deb342c7789e953ddd23c687b6

ORCID (identity reference)
https://web.archive.org/web/20250826004755/https://orcid.org/0009-0004-5175-9532

The eight works I mirrored to Zenodo

1. Self Aware Networks: OCA (First Draft)

   • Original date: 2025-05-16 (formal first draft)

   • Throughline: Multiscale oscillatory computation and deterministic agency; methods for wave-based integration (COT/NAPOT/BOT).

   • Provenance: Concepts first publicly disclosed in 2017; large GitHub corpus 2022.

   • https://zenodo.org/records/16922401

2. Super Dark Time: Gravity Computed from Local Quantum Mechanics

   • Original date: 2025-01-27 (Draft 16)

   • Throughline: Time-density field regulates quantum evolution and gravity; mass as a time crystal; local computation of gravity.

   • https://zenodo.org/records/16922502

3. Micah’s New Law of Thermodynamics: A Signal-Dissipation Framework for Equilibrium, Consciousness, and Gravity

   • Original date: 2025-01-23 (v6)

   • Throughline: Equilibrium as computation—iterative, local signal-dissipation; Kuramoto-like synchronization; neural coherence as thermodynamic relaxation.

   • https://zenodo.org/records/16922506

4. Super Information Theory: The Coherence Conservation Law Unifying the Wave Function, Gravity, and Time

   • Original date: 2025-02-09 (Draft 73; updated 2025-08-14)

   • Throughline: Two primitives—coherence field ψ(x) and time-density ρₜ(x)—with a unified, covariant action; gravity from coherence gradients; EM as phase holonomy; testable predictions.

   • https://zenodo.org/records/16922512

5. Coincidence as a Bit of Information (Dataset)

   • Original date: 2017 (review & consolidation June 2025)

   • Throughline: The bit is a coincidence pattern (not a spike); from micro coincidences to oscillatory coherence (2017 → 2022 → 2025).

   • https://zenodo.org/records/16922510

6. Neuroscience in Review: Mapping “Cortical traveling waves in time and space” (2025) to Self Aware Networks (2022) (Dataset)

   • Original date: 2025-06-18

   • Throughline: Formal translate → decode → map from 2025 traveling-wave reviews to SAN’s 2022 phase-wave differentials, with Pi Calculus and Category Theory proofs of equivalence.

   • https://zenodo.org/records/16922844

7. Neuroscience in Review: Brain Rhythms in Cognition (2024–25) vs. Blumberg’s Self-Aware Networks (2017–25)

   • Original date: 2025-07

   • Throughline: Contemporary rhythm-centric neuroscience converges on mechanisms articulated earlier in Coincidence as a Bit (2017) and SAN (2022); embedded within SIT’s coherence/time-density law.

   • https://zenodo.org/records/16922874

8. Timeline Review of Kletetschka’s 3D Time Theory & Blumberg’s SIT, SDT, QGTCD, and other similar theories

   • Original date: July 25, 2025 (v1)

   • Throughline: Timeline analysis mapping 3D Time Theory’s constructs to SIT (coherence gradients, time-density ρₜ), SDT (local gravitational computation), and QGTCD (time crystals), using translate→decode→map with Pi Calculus behavioral equivalence and Category Theory functional isomorphism to establish earlier priority.

   • https://zenodo.org/records/16922866