Hierarchies, similarity, and interactivity in object recognition: “Category-specific” neuropsychological deficits
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Behavioral and Brain Sciences 24 (3):453-476 (2001)
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. Key Words: category-specific deficits; functional imaging; hierarchical models; interactive activation models; neuropsychology; object recognition; perceptual and functional knowledge.
|Keywords||category-specific deficits functional imaging hierarchical models interactive activation models neuropsychology object recognition perceptual and functional knowledge|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
K. I. Taylor, B. J. Devereux, K. Acres, B. Randall & L. K. Tyler (2012). Contrasting Effects of Feature-Based Statistics on the Categorisation and Basic-Level Identification of Visual Objects. Cognition 122 (3):363-374.
Yanchao Bi, Xi Yu, Jingyi Geng & F. -Xavier Alario (2010). The Role of Visual Form in Lexical Access: Evidence From Chinese Classifier Production. Cognition 116 (1):101-109.
Ken McRae Chris McNorgan, Jackie Reid (2011). Integrating Conceptual Knowledge Within and Across Representational Modalities. Cognition 118 (2):211.
Christian Gerlach (2009). Category-Specificity in Visual Object Recognition. Cognition 111 (3):281-301.
Similar books and articles
Matthew A. Lambon Ralph & Peter Garrard (2001). Category-Specific Deficits: Insights From Semantic Dementia and Alzheimer's Disease. Behavioral and Brain Sciences 24 (3):485-486.
Jessie Peissig & Michael J. Tarr, Visual Object Recognition: Do We Know More Now Than We Did 20 Years Ago?
Agnesa Pillon & Dana Samson (2001). On Disentangling and Weighting Kinds of Semantic Knowledge. Behavioral and Brain Sciences 24 (3):490-490.
H. Clark Barrett (2001). Is Category Specificity in the World or in the Mind? Behavioral and Brain Sciences 24 (3):478-479.
Bradford Mahon & Alfonso Caramazza (2001). The Sensory/Functional Assumption or the Data: Which Do We Keep? Behavioral and Brain Sciences 24 (3):488-489.
George S. Cree & Ken McRae (2001). Beyond the Sensory/Functional Dichotomy. Behavioral and Brain Sciences 24 (3):480-481.
Koen Lamberts (2001). Category-Specific Deficits and Exemplar Models. Behavioral and Brain Sciences 24 (3):484-485.
Glyn W. Humphreys & Emer M. E. Forde (2001). Category Specificity in Mind and Brain? Behavioral and Brain Sciences 24 (3):497-504.
Added to index2009-01-28
Total downloads23 ( #75,237 of 1,101,573 )
Recent downloads (6 months)3 ( #117,010 of 1,101,573 )
How can I increase my downloads?