Abstract
Conceptual categories such as animate objects and artifacts can be selectively impaired after brain damage. The dominant view, partly derived from recent connectionist modeling of semantic memory disorders, is that category-specific deficits result from selective damage to noncategorically organized visual or functional semantic subsystems. We propose that selective semantic impairments arise from damage to a system that includes a categorically organized lexical-semantic level (referred to as lemma level), that is a level “binding” semantic features to other kinds of representations (e.g., visual, phonological, orthographic, etc.). Such level of representation can arise spontaneously in networks that are exposed to featural representations of word meaning within an unsupervised learning framework. The model develops a topographic organization reflecting the semantic categories and can easily account for category-specific dissociations as a result of focal damage to the network.
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Zorzi, M., Perry, C., Ziegler, J., Coltheart, M. (1999). Category-Specific Deficits in a Self-Organizing Model of the Lexical-Semantic System. In: Heinke, D., Humphreys, G.W., Olson, A. (eds) Connectionist Models in Cognitive Neuroscience. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0813-9_12
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DOI: https://doi.org/10.1007/978-1-4471-0813-9_12
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