ArticleImaging neuroscience (Cambridge, Mass.)2024
Representational similarity learning reveals a graded multidimensional semantic space in the human anterior temporal cortex.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Resolving the Abstract-Concrete Paradox in the Angular Gyrus: A Multimethod Investigation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Semantic properties and categorization norms for the 260 Snodgrass and Vanderwart objects: A 45-year conceptual update to a classic set.Behavior research methods · 2026Article
- AI-Enhanced Semantic Feature Norms for 786 Concepts.Topics in cognitive science · 2026Article
- Controlled Semantic Cognition: Precision Recordings Converge With in Silico Experiments to Reveal the Inner Workings of the Anterior Temporal Lobe Hub.Neurobiology of language (Cambridge, Mass.) · 2026Review
- All spectral frequencies of neural activity reveal semantic representation in the human anterior ventral temporal cortex.Imaging neuroscience (Cambridge, Mass.)Article
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10 authors.
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Abstract
Neurocognitive models of semantic memory have proposed that the ventral anterior temporal lobes (vATLs) encode a graded and multidimensional semantic space-yet neuroimaging studies seeking brain regions that encode semantic structure rarely identify these areas. In simulations, we show that this discrepancy may arise from a crucial mismatch between theory and analysis approach. Utilizing an analysis recently formulated to investigate graded multidimensional representations,
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