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Self-organizing features and categories through attentive resonance
Published online by Cambridge University Press: 01 February 1998
Abstract
Because “people create features to subserve the representation and categorization of objects” (abstract) Schyns et al. “provide an account of feature learning in which the components of a representation have close ties to the categorization history of the organism” (sect. 1.1). This commentary surveys self-organizing neural models that clarify this process. These models suggest how “top-down information should constrain the search for relevant dimensions/features of categorization” (sect. 3.4.2).
- Type
- Open Peer Commentary
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- © 1998 Cambridge University Press