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An ordinal Language of Thought supports human memory for regular sequences

2026-05-15

Abstract excerpt

How do humans store sequences that far exceed working memory capacity? Using visuo-spatial and binary auditory sequences, we previously showed that a Language of Thought (LoT) architecture, in which simple primitives are recursively combined into hierarchical programs, enables efficient storage of structured sequences. Here we ask whether this principle extends to purely ordinal structure: sequences defined by how...

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Literature Corpus work
d0e3847b-49d1-56bd-ac55-de09e0ef883e
DOI
10.64898/2026.05.14.725160
Open publication

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An ordinal Language of Thought supports human memory for regular sequencesDOI 10.64898/2026.05.14.725160
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