Self-Organizing Features and Categories Through Attentive Resonance
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Because "people create features to subserve the representation and categorization of objects" (p. 3), the authors "provide an account of feature learning in which the components of a representation have close ties to the categorization history of the organism" (p. 5). 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" (p. 23).