Grossberg, Stephen2011-11-142011-11-141999-04https://hdl.handle.net/2144/2229Because "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).en-USCopyright 1999 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.Self-Organizing Features and Categories Through Attentive ResonanceTechnical ReportBoston University Trustees