Non-Neural Memory as Thermodynamic Basin Dynamics: Kramers Escape, K-Factorization, and Mean-Field Convergence in Xenobot Calcium Signaling

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Autore principale: Eckert, Anthony
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2026
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author Eckert, Anthony
author_facet Eckert, Anthony
contents Maps the Levin lab's xenobot memory data (Pai et al. 2026) into the Void Framework's thermodynamic field theory. Calcium cross-correlation provides the first direct physical observable for the coupling coordinate α, bypassing the scoring circularity problem. K-Factorization confirmed at the calcium level with temporal dissociation: scale responds first during stimulus, coupling shape reorganizes over hours. Kramers barrier height E_b/T ≈ 6.8 from 24h memory persistence matches the universal cross-domain range. Six predictions tested (HP-XBM1–6), five kill conditions (0/5 fired). Establishes Pe dynamics in a system with zero neural architecture.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19158783
institution Zenodo
language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Non-Neural Memory as Thermodynamic Basin Dynamics: Kramers Escape, K-Factorization, and Mean-Field Convergence in Xenobot Calcium Signaling
Eckert, Anthony
xenobot
non-neural memory
calcium signaling
Kramers escape
K-Factorization
mean-field
Peclet number
integrated information
basal cognition
thermodynamic field theory
Void Framework
Maps the Levin lab's xenobot memory data (Pai et al. 2026) into the Void Framework's thermodynamic field theory. Calcium cross-correlation provides the first direct physical observable for the coupling coordinate α, bypassing the scoring circularity problem. K-Factorization confirmed at the calcium level with temporal dissociation: scale responds first during stimulus, coupling shape reorganizes over hours. Kramers barrier height E_b/T ≈ 6.8 from 24h memory persistence matches the universal cross-domain range. Six predictions tested (HP-XBM1–6), five kill conditions (0/5 fired). Establishes Pe dynamics in a system with zero neural architecture.
title Non-Neural Memory as Thermodynamic Basin Dynamics: Kramers Escape, K-Factorization, and Mean-Field Convergence in Xenobot Calcium Signaling
topic xenobot
non-neural memory
calcium signaling
Kramers escape
K-Factorization
mean-field
Peclet number
integrated information
basal cognition
thermodynamic field theory
Void Framework
url https://doi.org/10.5281/zenodo.19158783