Sentence examples for stimulus correlation from inspiring English sources
Intriguingly, these pathways are distinguished by their sensitivities to a stimulus correlation that corresponds to an illusory percept, "reverse phi," that affects many species.
We provided a whole picture with the full range of the variation of stimulus correlation in Fig. 5(C,D).
Clearly, increasing the physical correlate of saturation of a stimulus increases the ideal observer's predicted reflectance of that same stimulus (correlation coefficient r = 0.992, p<10−12), consistent with human perception.
Fortunately, the reverse correlation estimate ĝ can be modified to correct the bias due to the stimulus correlations.
The experimental responses were used to estimate RFs with correction for stimulus correlations and asymmetries as described above.
As described above, the least-squares approach corrects RF estimates for the bias introduced by stimulus correlations, but not for the bias introduced by stimulus asymmetries.
Conceptually, the correction necessary to remove the bias due to stimulus asymmetries is analogous to the transformation used to correct the bias due to stimulus correlations.
We show how stimulus correlations and asymmetries can bias reverse correlation RF estimates and detail a method for removing these biases.
Recently, several new techniques for RF estimation have been developed that use gradient descent methods to produce RF estimates that are independent of both stimulus correlations and asymmetries.
This suggests that the RFs with correction for stimulus correlations and asymmetries do indeed provide a more accurate description of temporal processing in retinal ganglion cells than the RFs estimated with correction for stimulus correlations only and that the explicit correction for stimulus asymmetries can be effective in the analysis of experimental responses to natural stimuli.
Transformation of the stimulus to remove the bias due to correlations improves the estimate ĝc blue arrow), but only after correction for for both stimulus correlations and asymmetries does the estimate ĝcs (cyan arrow) match the actual RF.
