Self-organizing features and categories through attentive resonance

Behavioral and Brain Sciences 21 (1):27-28 (1998)
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).
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DOI 10.1017/S0140525X98360100
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