Evidence map›Paper›PMID 40595264›Full record

ArticleScientific reports2025

The missing cue problem in hetero associative memory retrieval.

Rafael Morales, Luis A Pineda

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Rafael MoralesUniversidad de Guadalajara, SUV, Guadalajara, 44130, Mexico.
Luis A PinedaUniversidad Nacional Autónoma de México, IIMAS, Mexico City, 04510, Mexico. lpineda@unam.mx.

Funding

PAPIIT-UNAM IN103524
6 · The paper itself

Abstract

The Entropic Associative Memory is an auto-associative memory in which objects are represented and stored as discrete functions or "traces" in a table, so the memory content is a 2D relation or "memory plane". Memory traces are "overlapped" on the medium, the memory is indeterminate, and the system is entropic. The memory retrieval operation produces an object out of a cue and the indeterminate memory mass, and the memory is constructive. In this paper, we present its extension to the hetero-associative case. Pairs of hetero-associated objects, possibly of different domain and/or modalities, are held in a 4D relation. The cue to a memory retrieval operation selects a largely indeterminate 2D hetero-associated memory plane, but there is no cue left to recover the object from such plane. We propose three incremental methods to address such missing cue problem, which we call random, sample and test, and search and test. The model is assessed with composite recollections consisting of manuscript digits and letters selected from the MNIST and EMNIST corpora, respectively, such that cue digits retrieve their associated letters and vice versa. We show the memory performance and illustrate the memory retrieval operation using all three methods. The system shows promise for storing, recognizing, and retrieving very large sets of objects with very limited computing resources. We also discuss the implications of the model for the psychology and the neuroscience of memory.

Indexed as

Declarative memoryHetero-associativity memoryIndeterminacy of memoryMemory and Hebb’s learning rule

Identifiers

PMID40595264
PMCPMC12216516

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.