The centrality of language in human cognition
Open accessAbstract
The emergence of language—a productive and combinatorial system of communication—has been hailed as one of the major transitions in evolution. By enabling symbolic culture, language allows humans to draw on and expand on the knowledge of their ancestors and peers. A common assumption among linguists and psychologists is that although language is critical to our ability to share our thoughts, it plays a minor, if any, role in generating, controlling, and structuring them. I examine some assumptions that led to this view of language and discuss an alternative according to which normal human cognition is language‐augmented cognition. I focus on one of the fundamental design features of language—the use of words as symbolic cues—and argue that language acts as a high‐level control system for the mind, allowing individuals to sculpt mental representations of others as well as their own.
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Varieties of inner speech are subserved by different neural mechanisms.
“The idea that varieties of IS are subserved by different neural mechanisms gains further backing from an activation likelihood estimation (ALE) meta-analysis [48] supporting a separation between speech production and speech reception areas underlying different types of IS.”
From Inner speech as language process and cognitive tool (2023) · cites this paper as [48]
The discussion on p. 533 mentions stimulation of Broca’s and Wernicke’s areas affecting covert labeling, but does not distinguish varieties of inner speech or assign them to speech-production versus speech-reception areas. The passages found for inner speech and activation likelihood estimation do not report an ALE meta-analysis or the claimed separation. (LLM, conf=0.75)
Experimental — accuracy not yet measured
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Self-citationHow Language Programs the Mind
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Self-citationThe evocative power of words: Activation of concepts by verbal and nonverbal means.
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Self-citationHow language acquisition builds on cognitive development
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The conceptual grouping effect: Categories matter (and named categories matter more)
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Self-citationPrelinguistic Relational Concepts: Investigating Analogical Processing in Infants
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Words Jump-Start Vision: A Label Advantage in Object Recognition
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Self-citationFrom chair to "chair": A representational shift account of object labeling effects on memory.
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Self-citationThe Language Hoax: Why the World Looks the same in any Language
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Toddlers Infer Higher-Order Relational Principles in Causal Learning
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Language and perceptual categorisation
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What Do Words Do? Toward a Theory of Language-Augmented Thought
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Self-citationOn the Acquisition of Front, Back, and Side
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What makes words special? Words as unmotivated cues
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The Linguistics of Eating and Drinking
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Relational Language and Relational Thought
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Redundant spoken labels facilitate perception of multiple items
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Self-citationManual Experience Shapes Object Representations
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Up front: the acquisition of a concept and a word
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Language, Literacy, and Cognitive Development
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More than nature needs: language, mind, and evolution
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Perceptual processing is facilitated by ascribing meaning to novel stimuli
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Self-citationPreserved thematic and impaired taxonomic categorisation: A case study
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Meaningless words promote meaningful categorization
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\nWhere are the concepts? What words can and can’t reveal
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Empirically grounding grounded cognition: The case of color
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Abstract concepts: Data from a Grey parrot
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What the online manipulation of linguistic activity can tell us about language and thought
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Flagged first, then by citations
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“Interest in IS has been heightened by evidence that language augments and transforms cognition [23,49,50].”
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MoMA: a mixture-of-multimodal-agents architecture for enhancing clinical prediction modelling
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“…from non-text sources can be effectively translated into natural language, and the view from cognitive theory that language is central to human cognition 37 , the converted text can serve as an aligned space, ana-logoustothesharedvectorspaceusedintraditionaljoint-fusionmultimodal approaches.”
- Authors
- Lupyan, G.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Lupyan, Gary
- ORCID
- Lupyan, Gary
- Venue
- Language Learning
- Publisher
- Wiley
- Published
- 2015-12-11
- Volume
- 66
- Issue
- 3
- Pages
- 516-553
- ISSN
- 0023-8333 (ISSN-L)
- 1467-9922
- OpenAlex
- W2279213940
- Cited by
- 137
- References
- 209
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 15 · 2023: 11 · 2022: 11 · 2021: 7 · 2020: 30 · 2019: 26 · 2018: 7 · 2017: 8 · 2016: 4
- FWCI
- 9.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Language Learning (publishedVersion)
- Funders
- National Science Foundation (1331293)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Categorization, perception, and language
- Social Sciences › Cultural Studies › Language and cultural evolution
- Social Sciences › Arts and Humanities › Language and Linguistics › Syntax, Semantics, Linguistic Variation
- Keywords
- language and cognition, symbolic culture, mental representation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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