The DOI matches its Crossref record; 183 of the 183 references it cites were found in a registry or an index.
Hierarchies, similarity, and interactivity in object recognition: “Category-specific” neuropsychological deficits
Abstract
Category-specific impairments of object recognition and naming are among the most intriguing disorders in neuropsychology, affecting the retrieval of knowledge about either living or nonliving things. They can give us insight into the nature of our representations of objects: Have we evolved different neural systems for recognizing different categories of object? What kinds of knowledge are important for recognizing particular objects? How does visual similarity within a category influence object recognition and representation? What is the nature of our semantic knowledge about different objects? We review the evidence on category-specific impairments, arguing that deficits even for one class of object (e.g., living things) cannot be accounted for in terms of a single information processing disorder across all patients; problems arise at contrasting loci in different patients. The same apparent pattern of impairment can be produced by damage to different loci. According to a new processing framework for object recognition and naming, the hierarchical interactive theory (HIT), we have a hierarchy of highly interactive stored representations. HIT explains the variety of patients in terms of (1) lesions at different levels of processing and (2) different forms of stored knowledge used both for particular tasks and for particular categories of object.
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Cites
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Grounding conceptual knowledge in modality-specific systems
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Metadata
- Authors
- Humphreys, G. W., & Forde, E. M. E.
- Venue
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Published
- 2001-06
- Volume
- 24
- Issue
- 3
- Pages
- 453-476
- ISSN
- 0140-525X (ISSN-L)
- 1469-1825
- OpenAlex
- W2149981795
- Cited by
- 499
- References
- 183
- FWCI
- 16.54
- 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).
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