In each session, capuchins faced binary choices between different quantities of a pair (A B or B C).
In each session, capuchins faced binary choices between different quantities of three tokens (A B, B C, and A C).
In each session, capuchins faced choices between different quantities of three foods, labeled A, B and C in decreasing order of preference.
Then, in the Food condition, preference transitivity was tested by presenting capuchins with binary choices between different quantities of the three foods, labeled A, B and C in decreasing order of preference (Table 1, Video S1, S2, S3, S4).
Indeed, in order to choose between different quantities of tokens corresponding to qualitatively different foods, capuchins should recall the association between each token and the corresponding food, evaluate the amount of each token array, estimate the relative value of the two offers, and finally make up their mind on which option to choose.
Finally, in the Token condition, preference transitivity was tested by presenting capuchins with binary choices between different quantities of the three tokens, labeled A, B and C in decreasing order of preference (Table 1, Video S5, S6, S7, S8, S9, S10).
The quantity variance (the difference in quantities of inputs) explains cost differences due to different quantities of resources used between the two sites; a negative value indicates that site 1 uses fewer resources than site 2 in performing the CABG surgery, and vice versa.
The estimated trait-DGV genetic correlations varied between traits due to different quantities of information and possibly different genetic architectures between the traits (Table 5).
In the same way, simple comparison of different quantities of objects processed by predominantly visual brain regions exposed no differences between children with DD and control children.
Different quantities of NG2 recycling over time were represented as total corrected fluorescence measured using ImageJ.
