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Self-organizing features and categories through attentive resonance

  • Stephen Grossberg (a1)

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).

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Self-organizing features and categories through attentive resonance

  • Stephen Grossberg (a1)

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