SPIRALbase Hybrid-J: Block-Structured Associative Memory with Shared Core, Local Stability, and Controlled Proximity Bridges

SPIRALbase Hybrid-J presents a block-structured associative-memory architecture designed to bridge two earlier SPIRALbase lines: partitioned pseudo-likelihood memory with strong context isolation, and projector-gated shared memory with strong selective access. Hybrid-J separates a small shared core, stable local attractor blocks, and explicit low-rank bridges between nearby contexts. Internal staged validation supports local stability, useful cross-context association, and a three-factor view of selective bridging based on bridge direction, accessibility amplitude, and cue-conditional gating.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-16
DOI
https://doi.org/10.5281/zenodo.19606864
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

SPIRALbase Hybrid-J: Block-Structured Associative Memory with Shared Core, Local Stability, and Controlled Proximity Bridges

Robin Langell
Zenodo (CERN European Organization for Nuclear Research)
Parallel Computing and Optimization Techniques
article

SPIRALbase Hybrid-J: Block-Structured Associative Memory with Shared Core, Local Stability, and Controlled Proximity Bridges

Robin Langell
article en

Abstract

SPIRALbase Hybrid-J presents a block-structured associative-memory architecture designed to bridge two earlier SPIRALbase lines: partitioned pseudo-likelihood memory with strong context isolation, and projector-gated shared memory with strong selective access. Hybrid-J separates a small shared core, stable local attractor blocks, and explicit low-rank bridges between nearby contexts. Internal staged validation supports local stability, useful cross-context association, and a three-factor view of selective bridging based on bridge direction, accessibility amplitude, and cue-conditional gating.

Zenodo (CERN European Organization for Nuclear Research)
Kemakta Konsult (SE)
Sustainable cities and communities
Openalex Percentile: Top 8%
Parallel Computing and Optimization Techniques
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