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Cited by 896

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain

Open access
Huth, Alexander G., Nishimoto, Shinji, Vu, An T., Gallant, Jack L.·2012·Neuron

Abstract

Summary Humans can see and name thousands of distinct object and action categories, so it is unlikely that each category is represented in a distinct brain area. A more efficient scheme would be to represent categories as locations in a continuous semantic space mapped smoothly across the cortical surface. To search for such a space, we used functional magnetic resonance imaging (fMRI) to measure human brain activity evoked by natural movies. We then used voxel-wise models to examine the cortical representation of 1705 object and action categories. The first few dimensions of the underlying semantic space were recovered from the fit models by principal components analysis. Projection of the recovered semantic space onto cortical flat maps shows that semantic selectivity is organized into smooth gradients that cover much of visual and non-visual cortex. Furthermore, both the recovered semantic space and the cortical organization of the space are shared across different individuals.

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Crossref · 10.1016/j.neuron.2012.10.014

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Metadata

Authors
Huth, A. G., Nishimoto, S., Vu, A. T., & Gallant, J. L.
Venue
Neuron
Publisher
Elsevier BV
Published
2012-12
Volume
76
Issue
6
Pages
1210-1224
ISSN
0896-6273 (ISSN-L)
OpenAlex
W2011589116
Cited by
896
References
11
FWCI
25.33
Type
journal article
Language
en
Open access
bronze

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Huth, A. G., Nishimoto, S., Vu, A. T., & Gallant, J. L. (2012). A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain. Neuron. https://doi.org/10.1016/j.neuron.2012.10.014

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.