p200fig05.13 Instar and outstar learning are often used to learn the adaptive weights in the bottom-up filters and top-down expectations that occur in ART.  The ART Matching Rule for object attention enables top-down expectations to select, amplify, and synchronize expected patterns of critical features, while suppressing unexpected features.<BR>||  Expectations focus attention: feature pattern (STM), Bottom-Up adaptive filter (LTM), Category (STM), competition, Top-Down expectation (LTM);  ART Matching Rule: STM before top-down matching, STM after top-down matching (attention!)