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Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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Neuroscience in Review: Brain Rhythms in Cognition (2024–25) vs. Blumberg's Self-Aware Networks (2017–25): A Comparative Analysis

Authors: Blumberg, Micah;

Neuroscience in Review: Brain Rhythms in Cognition (2024–25) vs. Blumberg's Self-Aware Networks (2017–25): A Comparative Analysis

Abstract

Neuroscience in Review: Brain Rhythms in Cognition (2024–25) vs. Blumberg’s Self-Aware Networks (2017–25): A Comparative Analysis 2025-07-27 | Journal article | Author: Micah Blumberg DOI: 10.6084/m9.figshare.29650250SOURCE-WORK-ID: 29650250Contributors: Micah Blumberg Original Publication Date: July 2025 OverviewThis article analyzes the 2024–25 wave of neuroscience on brain rhythms in cognition and makes explicit the conceptual equivalences to earlier independent work—Coincidence as a Bit (2017), Self Aware Networks (SAN, 2022), and Super Information Theory (SIT, 2025). Using translate→decode→map, it demonstrates that mainstream claims about oscillations, synchrony, predictive processing, and integration are behaviorally equivalent to SAN’s deterministic oscillatory agency. Findings (Equivalence Highlights) “Rhythms as predictive scaffolds” ↔ SAN deterministic oscillatory agency governing perception/decision. Coincidence detection at synapses ↔ “bit = coincidence pattern” (2017), scaled via phase-locking into ensembles. Cross-area integration via traveling waves ↔ oscillatory tomography (COT/NAPOT/BOT). Attention and memory modulation by alpha/beta/gamma ↔ macro-rhythmic governance and top-down control in SAN. Formal Tests Pi Calculus: Processes modeling rhythmic coordination compose to the same observable behaviors (equivalent traces/bisimulations). Category Theory: Functorial mapping preserves morphisms (phase-locking relations) and objects (rhythm-defined modules), showing functional isomorphism. Integration with SITEmbedding SAN’s oscillatory computation into SIT yields coherence field ψ(x) and time-density ρₜ(x) as the physical substrate of cognitive rhythms. Thus, cortical dynamics become instances of universal coherence computation within a falsifiable physical framework. Provenance & Priority Trail 2017: Coincidence-bit thesis (Neural Lace Podcast; early posts). 2022: SAN GitHub notes (v5ma). May 2025: SAN first-draft preprint; Feb 2025: SIT formalization. July 2025: This comparative review composed; Figshare record: 2025-07-27. Archival context: Parallel archiving is maintained while Figshare is suspended (likely amid priority disputes) to ensure persistence and citability. PurposeTo document that contemporary rhythm-centric neuroscience converges on mechanisms published earlier in SAN, and to position those mechanisms within SIT’s physical law of coherence/time-density. ORCID: https://orcid.org/0009-0004-5175-9532 (Optional Zenodo “Related identifiers”) References → Coincidence as a Bit (2017 → 2025 dataset), SAN (May 2025), SIT (Feb 2025) IsPartOf → “Self Aware Networks / SIT program (2017–2025)”

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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