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On average across sessions, decreases in color coherence (example stimuli shown in Fig. 1c) resulted in more errors (Fig. 1d, fitting the proportion correct as a function of coherence (C) using a psychometric function; average R 2, T: 0.99 (over 75 sessions), O: 0.99 (over 66 sessions), slope, M ± SD over sessions, T: 1.30 ± 0.16, O: 1.22 ± 0.16).
Figure 2A shows the mean hit rate (percent correct) as a function of the number of dots for each age group.
The response data of percent correct as a function of N was fitted with a Weibull psychometric function, and counting threshold was taken as the midway point between the upper and the lower free floating asymptotes as illustrated in Figure 2A (dotted lines; in this example, counting threshold refers to the number of dots at which ∼63% correct level was obtained).
Several sets of trials were performed sequentially to determine the percent correct as a function of scene luminance.
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Fig. 12 Mean proportion of correct responses as a function of color-object association strength (association ratings from Fig. 4) between objects and the correct color for each color set in the select and match tasks (top row).
(c) Probability of correct response as a function of the time to the preceding single-photon event, data averaged across subjects and ratings (n=2,420).
The articulation invariant properties of the objects are used to characterize recognition system performance in terms of probability of correct identification as a function of percent invariance with articulation.
We describe the intuition and implementation of our algorithm, and show preliminary results indicating an increase in the probability of a correct classification as a function of the number of observations made, based on simulated light curves from nine different variable source types.
Mice were then submitted to attentional testing in which trials using light signals of 2, 1 or 0.5 s were intermixed to evaluate the decrement in correct responses as a function of the decrease in light signal duration and thus, to construct a reference curve for the attentional performance of C57Bl/6 mice.
Figure 12 Probability of correct classification as a function of the feature vector dimensionality.
(a) This graph shows the number of correct matches as a function of radius of the correlation window under different scale changes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com