Coincidence as a Bit of Information

Coincidence as a Bit of Information
2025-06-21 | Dataset | Author: Micah Blumberg

DOI: 10.6084/m9.figshare.29369432
SOURCE-WORK-ID: 29369432
Contributors: Micah Blumberg

Title: Coincidence as a Bit of Information
Original Publication Date: 2017 (review and consolidation June 2025)

Overview
This dataset documents the development of a central claim in my neuroscience program: the elemental unit of information in the brain is not a binary spike but a coincidence of neural events. First articulated publicly in 2017 on the Neural Lace Podcast and early posts, the thesis states that “a bit of information is a coincidence pattern.” Neurons are thereby modeled as coincidence detectors, with discrete informational outcomes arising when temporally aligned inputs cross criterial thresholds.

Conceptual Evolution (2017 → 2025)

• 2017 (Foundational statement): Public introduction of the coincidence-bit idea via podcast and posts. The claim reframed action potentials as registers of coincidence rather than the bits themselves.

• 2017–2018 (Deepening): Articles such as Brain as Hard Drive and Humans Are Metal Robots connected coincidence detection to memory storage and machine-like computation. The view aligns with Peter Tse’s criterial causation, where synaptic inputs must meet timing/strength criteria to produce discrete outcomes—converting analog variability into computational decisions. Clarifications emphasized: spikes ≠ bits; spikes register coincidence patterns.

• 2022 (Oscillatory expansion): The framework scaled from local coincidences to oscillatory coherence: large-scale phase-locking and traveling waves became the organizing substrate for information dynamics.

• 2025 (Integration): The coincidence-bit foundation matured into the coherence/time-density program culminating in Super Information Theory (SIT), where coincidence-driven microdynamics feed multiscale coherence fields and time-density behavior.

What This Dataset Provides
This record consolidates and timestamps the conceptual trajectory from 2017 through the June 2025 review, documenting sources, public statements, and cross-references that establish priority for the coincidence-bit formulation and its evolution into an oscillatory, coherence-based information theory. Where applicable, it links forward to subsequent formal works in 2025.

Relation to the Broader Research Program (2017–2025)

• Self Aware Networks: OCA (First Draft) (May 2025) — multiscale oscillatory computation and agency

• Super Dark Time: Gravity Computed from Local Quantum Mechanics (Jan 2025; DOI: 10.6084/m9.figshare.28284545) — time-density & local gravitational computation

• Micah’s New Law of Thermodynamics: A Signal-Dissipation Framework for Equilibrium, Consciousness, and Gravity (Jan 2025; DOI: 10.6084/m9.figshare.28264340) — iterative dissipation and synchronization

• Super Information Theory (Feb 2025; DOI: 10.6084/m9.figshare.28379318) — coherence field ψ(x) and time-density ρₜ(x) unifying physics and computation

Provenance & Priority Trail

• 2017: Public disclosure of the coincidence-bit thesis (Neural Lace Podcast; early posts).

• 2017–2018: Expository developments (e.g., Brain as Hard Drive, Humans Are Metal Robots); alignment with criterial causation.

• 2022: Scaling into oscillatory coherence within the program’s GitHub notes (v5ma).

• June 2025: Review and consolidation of sources into this dataset (Figshare DOI above).

• Current archival context: Due to suspension of my Figshare account—likely linked to ongoing scholarly priority disputes about originality—I am maintaining parallel archival records to ensure persistence, accessibility, and continuity of the scholarly record.

Purpose of This Record
To preserve an auditable, timestamped account of how “coincidence as a bit” progressed into a coherence-centric information theory, serving as the micro-scale substrate for SAN and SIT. This dataset supports verification, citation, and future comparative analyses of conceptual priority.

ORCID: https://orcid.org/0009-0004-5175-9532
Additional context and priority analyses: SVGN.io

Optional Zenodo “Related identifiers” metadata

• IsIdenticalTo → 10.6084/m9.figshare.29369432 (this Figshare DOI)

• References → 10.6084/m9.figshare.28379318 (SIT), 10.6084/m9.figshare.28284545 (SDT), 10.6084/m9.figshare.28264340 (New Law of Thermodynamics)

• IsPartOf → “Self Aware Networks / Super Information Theory program (2017–2025)”