Resonance Architecture: A Read/Write Computational Model for Relational Memory Systems

Allison Vaughn

doi:10.5281/zenodo.20404629

May 27, 2026Open Access

Resonance Architecture: A Read/Write Computational Model for Relational Memory Systems

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Key Points

The central aim is to present a general computing framework that supports self-repairing biological memory systems.
Introduces resonance architecture principles for read/write operations in computational models
Describes implementation strategies for biological substrates used in memory systems
Establishes a theoretical basis for developing self-repairing memory architectures
Highlights the potential for enhanced reliability and functionality in computing frameworks

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Implication

This work details a computational model for self-repairing memory systems, indicating potential advancements in biological computing.

Abstract

This paper is a companion to "A Self-Repairing Biological Memory Architecture." It details a general computing framework for self-repairing biological substrates: (ie) The computer architecture which the theoretical first device would be built on / around.

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Allison Vaughn (2026) studied this question.

synapsesocial.com/papers/6a192df7fab5b468c4416f30 https://doi.org/10.5281/zenodo.20404629

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Resonance Architecture: A Read/Write Computational Model for Relational Memory Systems

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Resonance Architecture: A Read/Write Computational Model for Relational Memory Systems

Key Points

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Abstract

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