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 accessAbstract
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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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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