Though all subjects showed similar patterns of responding in this experiment, slight differences in stimulus parameters led us to analyse results individually. Data for subject J.W. can be seen in
Figure 8. This shows a clear change in the perceived speed of receding patterns following adaptation to uncorrelated stimuli, but an even larger change following correlated adaptation. For the baseline condition, the PSE was 0.217 ± 0.009 deg/s, whilst the PSEs for correlated and uncorrelated adaptation were 0.106 ± 0.015 and 0.149 ± 0.010 deg/s, respectively. A one-way ANOVA showed these results to be significantly different (F(2,9) = 24.14,
p < 0.0005). A Newman-Keuls post hoc test confirmed that all pairwise comparisons showed significant differences. Results for subject S.F. are also shown in
Figure 8. The general pattern of results appears very similar to that for J.W., with PSEs for correlated and uncorrelated adaptation at 0.145 ± 0.0130 and 0.182 ± 0.010 deg/s, respectively. The baseline condition showed a PSE of 0.236 ± 0.010 deg/s. Again, a one-way ANOVA found that these results show significant differences (F(2,9) = 17.53,
p <0.0005). A Newman-Keuls post hoc test confirmed that all pairwise differences between means were statistically significant. For subject A.D., there is a similar, though more exaggerated, pattern of results. A reduction of perceived speed following adaptation is shown, which is very much larger for correlated adaptation than for uncorrelated. In order for probit analysis to find a reasonable fit for the data in the correlated condition, which showed only one data point at less than 100%, the slope of the fit line had to be constrained. It was decided that the curve fit should be forced to have a slope as steep as any in this experiment, in order to produce a PSE that was as high as possible. If anything, this produces an underestimation of the bias in this condition. The PSE for correlated and uncorrelated adaptation is 0.034 ± 0.030 and 0.136 ± 0.010 deg/s, respectively. The baseline PSE was 0.160 ± 0.013 deg/s. A one-way ANOVA indicated a statistically significant effect in these results (F(2,9) = 11.31,
p = 0.004). A Newman-Keuls post hoc test showed that though the difference between Baseline and Uncorrelated conditions did not reach significance, there was a significant difference both between Correlated and Baseline conditions, and between Correlated and Uncorrelated conditions.