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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Neuroscience in Review: Mapping "Cortical traveling waves in time and space" (2025) to Self Aware Networks (2022)

Authors: Blumberg, Micah;

Neuroscience in Review: Mapping "Cortical traveling waves in time and space" (2025) to Self Aware Networks (2022)

Abstract

Neuroscience in Review: Mapping “Cortical traveling waves in time and space” (2025) to Self Aware Networks (2022) 2025-08-03 | Dataset | Author: Micah Blumberg DOI: 10.6084/m9.figshare.29817383SOURCE-WORK-ID: 29817383Contributors: Micah Blumberg Title: Neuroscience in Review: Mapping “Cortical traveling waves in time and space” (2025) to Self Aware Networks (2022)Original Publication Date: June 18, 2025 OverviewThis dataset demonstrates direct conceptual continuity between 2025 neuroscience on cortical traveling waves and the prior framework Self Aware Networks (SAN, 2022). Using a formal translate→decode→map procedure, it aligns recent traveling-wave claims with SAN’s earlier constructs—phase wave differentials, oscillatory tomography (COT / NAPOT / BOT), and deterministic oscillatory agency—and establishes priority with timestamps. Method (Formal Equivalence Tests) Translation/Decoding: Convert review terminology (wavefronts, propagation, cross-frequency coupling) into SAN’s terms (phase wave differentials, phase velocity/coherence metrics, multi-band locking). Pi Calculus (behavioral similarity): Show that both accounts compute identical message-passing/coordination behaviors under composition. Category Theory (functional isomorphism): Exhibit functors mapping “traveling-wave modules” to SAN’s oscillatory components preserving structure (objects: rhythms; morphisms: phase-locking/synchrony). Key Mappings (Examples) Traveling wavefronts across cortex ↔ SAN phase wave differentials beyond bulk rhythms. Alpha/beta/gamma fronts and directionality ↔ macro-rhythmic governance and top-down/bottom-up concurrency graphs. Cross-frequency coupling ↔ multiband phase-locking across SAN’s tomographic layers (COT/NAPOT/BOT). “Predictive scaffolds” ↔ deterministic oscillatory agency in SAN. Contents of the Dataset A term-to-term mapping matrix (review → SAN). Sketches of Pi Calculus behavioral simulations. Category-theoretic correspondences (functors/natural transformations). A dated timeline table (2017 podcast → 2022 GitHub SAN notes → May 2025 SAN first draft → 2025 traveling-wave reviews). Citations index and notes on experimental predictions consistent with SAN. Provenance & Priority Trail 2017: Foundational claims disclosed on the Neural Lace Podcast. 2022: Thousands of pages of SAN notes on GitHub (v5ma) establish phase wave differentials and oscillatory tomography. May 2025: SAN first-draft preprint formalizes constructs. June 18, 2025: This mapping prepared; Aug 3, 2025 dataset record. Archival context: With my Figshare account suspended (likely amid scholarly priority disputes), this dataset preserves accessibility and the timestamped genealogy. PurposeTo provide an auditable, formal bridge proving that the 2025 “traveling-waves” emphasis is behaviorally and functionally equivalent to SAN’s 2022 framework—and that SAN holds chronological priority. ORCID: https://orcid.org/0009-0004-5175-9532 (Optional Zenodo “Related identifiers”) References → SAN first-draft (May 2025), relevant traveling-wave reviews (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
Average
Average