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March 24, 20260 citationsOpen Access

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

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AEAnthony W. Eckert

Key Points

  • To examine how non-neural memory in xenobots can be understood through thermodynamic dynamics and calcium signaling.
  • Mapped xenobot memory data into thermodynamic field theory using the Void Framework.
  • Analyzed calcium cross-correlation as a direct measure of coupling coordinate α.
  • Tested six predictions and assessed five kill conditions related to memory persistence.
  • Kramers barrier height approximately 6.8 correlates with 24-hour memory persistence.
  • Confirmed K-Factorization effects at the calcium level showing temporal dissociation during stimuli.
  • Five out of six predictions were tested but failed to meet kill conditions.

Abstract

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 Eb/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.

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Cite This Study

Anthony W. Eckert (2026) studied this question.

synapsesocial.com/papers/69c229a5aeb5a845df0d46c1https://doi.org/10.5281/zenodo.19158782
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