The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
The Representation of Object Concepts in the Brain
Abstract
Evidence from functional neuroimaging of the human brain indicates that information about salient properties of an object—such as what it looks like, how it moves, and how it is used—is stored in sensory and motor systems active when that information was acquired. As a result, object concepts belonging to different categories like animals and tools are represented in partially distinct, sensory- and motor property–based neural networks. This suggests that object concepts are not explicitly represented, but rather emerge from weighted activity within property-based brain regions. However, some property-based regions seem to show a categorical organization, thus providing evidence consistent with category-based, domain-specific formulations as well.
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Cites
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Category-Specific Cortical Activity Precedes Retrieval During Memory Search
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Cited by
Barsalou, L. W. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093639 · Cited by 5,936
Where do you know what you know? The representation of semantic knowledge in the human brain
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Precision Functional Mapping of Individual Human Brains
Gordon, E. M., Laumann, T. O., Gilmore, A. W., Newbold, D. J., Greene, D. J., Berg, J. J., Ortega, M., Hoyt-Drazen, C., Gratton, C., Sun, H., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.011 · Cited by 1,335
A new neural framework for visuospatial processing
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Depression and obesity: evidence of shared biological mechanisms
Milaneschi, Y., Simmons, W. K., van Rossum, E. F. C., & Penninx, B. W. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0017-5 · Cited by 1,073
Metadata
- Authors
- Martin, A.
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 2007-01-01
- Volume
- 58
- Issue
- 1
- Pages
- 25-45
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- OpenAlex
- W2165116114
- Cited by
- 1,591
- References
- 13
- FWCI
- 11.46
- Type
- journal article
- Language
- en
- Open access
- closed
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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.