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Fig 1.

Baboon and model accuracy.

Upper panel: discrimination accuracy for bins of 100 trials. Second panel: Change in accuracy for successive bins (all p ≤ 0.0001). Third panel: crosscorrelations. As initial baboon behavior is idiosyncratic, panels 2–3 are based on analyses excluding the first 5000 trials.

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Fig 2.

Generalization in baboons and model at first encounter of a novel word (upper panel) or nonword (lower panel).

Upper panels show cumulative accuracy as novel words are encountered. Lower panels show accuracy on first encounters of nonwords by blocks of 100 trials. Correlations are Spearman correlations based on the empirical first derivatives of baboon performance and model predictions.

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Fig 3.

Upper panel: probability of sequences of more than k correct responses. Center panel: partial effect of OLD20 on nonword accuracy in a generalized additive mixed model with by-baboon factor smooths for trial, for observed baboon performance (red) and model predictions (blue). For both baboons and model, greater dissimilarity from words (greater OLD20) predicts higher nonword accuracy. Lower panel: Probability of word response predicted by the models for the baboons, subcategorized by type of nonword. Transp: nonword obtained from a word by transposition of the center letters; subst: nonword obtained from a word by exchanging a vowel for a vowel or a consonant for a consonant.

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Fig 4.

Number of baboons for which random effect factors (words, bigrams, trigrams) were significant according to the test described in [48], for baboon responses and responses predicted by the model.

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Fig 5.

Left-hand and right-hand model drawings of a right-handed 13 year old patient 5 months following a cerebral commissurotomy [50].

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