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. Author manuscript; available in PMC: 2012 Jun 1.
Published in final edited form as: Psychophysiology. 2010 Oct 13;48(6):825–841. doi: 10.1111/j.1469-8986.2010.01146.x

Table 1. Exemplar and Feature Frequency.

TEST PHASE TRAINING PLUS TEST PHASES
Condition Exemplars Trials Exemplar frequency Relevant feature frequency Specific body part frequency Relevant feature frequency Specific body part frequency
Experiment 1
Old Far Boundary 10 100 3.03% 33.3% 12.1% 33.3% 13.7%
New Far Boundary 60 60 0.30% 33.3% 1.8% 33.3% 1.2%
Near Boundary 60 60 0.30% 33.3% 12.1% 33.3% 13.7%
Common Other 10 60 1.82% 18.2% 9.1% 23.5% 11.8%
Novel Other 50 50 0.30% 15.2% 3.0% 9.8% 2.0%
Experiment 2
Far Boundary 10 100 2.86% 22.9% 11.4% 27.7% 13.7%
Near Boundary 60 60 0.29% 22.9% 11.4% 27.7% 13.7%
Common Other 10 140 4.00% 40.0% 20.0% 34.0% 17.0%
Novel Other 50 50 0.29% 14.3% 7.1% 10.5% 5.3%

Note. The frequency of an exemplar or feature is the percentage of trials in which it occurs. Features relevant to the categorization rule are global body shape (horse-like, humanoid, fish-like, plant-like), color, and body markings. Specific body parts (e.g. which particular horse-head was used to create a horse-like shape) are irrelevant to the categorization rule. Note that for the Near and Far Boundary stimuli, relevant-feature frequency is equivalent to the frequency of the correct response category (i.e., 33% of the stimuli should be labeled as Mogs, 33% as Nibs in Experiment 1). Common and Novel Others were assigned to the same response category, so that their relevant-feature frequency sums to the probability of the “Other” response category (33% in Experiment 1, 54% in Experiment 2).