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Self-organizing features and categories through attentive resonance

Published online by Cambridge University Press:  01 February 1998

Stephen Grossberg
Affiliation:
Department of Cognitive and Neural Systems, Boston University, Boston, MA 02215 steve@cns.bu.edu

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
Copyright
© 1998 Cambridge University Press

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