p199fig05.11 Instar learning enables a bottom-up adaptive filter to become selectively tuned to particular feature patterns. Such pattern learning needs adaptive weights that can either increase or decrease to match the featural activations that they filter.<BR>||  Instar learning STM->LTM: need both increases and decreases in strength for the LTM pattern to learn the STM pattern