Figure 1.

Each exemplar in a series presented in an habituation task may be represented as a single instance in a stimulus that varies by several dimensions. When there is high variation in these dimensions across the exemplars, the points in the space are widely distributed (depicted by the red points) and a broad summary representation is formed (top). When there is low variation and redundancy in dimensions, a narrow tuning curve is generated (bottom)-one that may be more easily discriminated from a novel exemplar (depicted by the blue point)