Beyond individuals: Collective predictive coding for memory, attention, and the emergence of language

This commentary extends the discussion by Parr et al. on memory and attention beyond individual cognitive systems. From the perspective of the Collective Predictive Coding (CPC) hypothesis -- a framework for understanding these faculties and the emergence of language at the group level -- we introduce a hypothetical idea: that language, with its embedded distributional semantics, serves as a collectively formed external representation. CPC generalises the concepts of individual memory and attention to the collective level. This offers a new perspective on how shared linguistic structures, which may embrace collective world models learned through next-word prediction, emerge from and shape group-level cognition.

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Publication Details

Journal
Cognitive Neuroscience
Published
2025-06-17
DOI
https://doi.org/10.1080/17588928.2025.2518942
Citations
2
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
32.98
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article

Beyond individuals: Collective predictive coding for memory, attention, and the emergence of language

Tadahiro Taniguchi
2 citations
Cognitive Neuroscience
Language and cultural evolution
32.98
article

Beyond individuals: Collective predictive coding for memory, attention, and the emergence of language

Tadahiro Taniguchi
article en
2 citations

Abstract

This commentary extends the discussion by Parr et al. on memory and attention beyond individual cognitive systems. From the perspective of the Collective Predictive Coding (CPC) hypothesis -- a framework for understanding these faculties and the emergence of language at the group level -- we introduce a hypothetical idea: that language, with its embedded distributional semantics, serves as a collectively formed external representation. CPC generalises the concepts of individual memory and attention to the collective level. This offers a new perspective on how shared linguistic structures, which may embrace collective world models learned through next-word prediction, emerge from and shape group-level cognition.

Cognitive NeuroscienceVol. 16(1-4)
Kyoto University (JP)
Quality Education
Openalex Percentile: Top 1%
Language and cultural evolution
32.98
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Beyond individuals: Collective predictive coding for memory, attention, and the emergence of language — Tadahiro Taniguchi · Cognitive Neuroscience (2025) | TGRS Research Map | TGRS