Table 2.
Features Rank Ordered | |||||||||
---|---|---|---|---|---|---|---|---|---|
Entropy | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | ||
Human | DPC_19 | 0.260 | 0.884* | 0.074 | 0.011 | 0.009 | 0.009 | 0.007 | 0.006 |
DPC_16 | 0.396 | 0.716* | 0.239 | 0.030 | 0.009 | 0.003 | 0.002 | 0.002 | |
DPS2_5 | 0.409 | 0.750* | 0.144 | 0.091 | 0.008 | 0.005 | 0.001 | 0.001 | |
DPS3_2 | 0.449 | 0.768* | 0.098 | 0.064 | 0.036 | 0.022 | 0.007 | 0.005 | |
DPS3_5 | 0.602 | 0.682* | 0.089 | 0.069 | 0.060 | 0.038 | 0.032 | 0.029 | |
Pigeon | 62B | 0.232 | 0.891 * | 0.075 | 0.019 | 0.005 | 0.005 | 0.004 | 0.000 |
75B | 0.274 | 0.853 * | 0.115 | 0.013 | 0.010 | 0.007 | 0.001 | 0.001 | |
14W | 0.351 | 0.806 * | 0.122 | 0.008 | 0.007 | 0.054 | 0.001 | 0.003 | |
27Y | 0.408 | 0.793 * | 0.090 | 0.048 | 0.044 | 0.019 | 0.004 | 0.002 | |
76B | 0.562 | 0.597 * | 0.213 | 0.123 | 0.063 | 0.002 | 0.001 | 0.000 | |
66Y | 0.628 | 0.552 * | 0.197 | 0.144 | 0.088 | 0.019 | 0.001 | 0.000 | |
3W | 0.636 | 0.575 * | 0.220 | 0.114 | 0.030 | 0.028 | 0.020 | 0.012 | |
29B | 0.672 | 0.417 * | 0.325 | 0.181 | 0.048 | 0.021 | 0.008 | 0.000 | |
57Y | 0.699 | 0.460 * | 0.221 | 0.179 | 0.104 | 0.034 | 0.001 | 0.000 | |
83Y | 0.704 | 0.540 | 0.180 | 0.111 | 0.088 * | 0.054 | 0.019 | 0.008 | |
44W | 0.726 | 0.513 * | 0.167 | 0.141 | 0.108 | 0.041 | 0.021 | 0.009 | |
38B | 0.774 | 0.438 * | 0.149 | 0.149 | 0.143 | 0.108 | 0.013 | 0.000 | |
8R | 0.759 | 0.479 * | 0.151 | 0.139 | 0.105 | 0.104 | 0.018 | 0.004 | |
71R | 0.783 | 0.322 * | 0.267 | 0.182 | 0.143 | 0.085 | 0.001 | 0.000 | |
33W | 0.822 | 0.235 | 0.225 | 0.205 * | 0.169 | 0.165 | 0.000 | 0.000 | |
43R | 0.890 | 0.285 | 0.228 | 0.167 | 0.151 * | 0.089 | 0.067 | 0.013 |
Note: Attentional weights for each of the features in the category exemplars for the 5 human participants who did not show maximal selectivity (that is, w = 1 for the deterministic feature) and all 16 pigeons. The normalized entropy of their attentional weights appears in bold. The attentional weights are rank ordered, so that the first feature is always the one with the largest attentional weight. The asterisk (and red color) indicates the attentional weight for the deterministic feature. Note that, the lower the entropy score, the higher the attentional weight to a single feature; conversely, the higher the entropy score, the more distributed the attentional weights are among a greater number of features.