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It is evident that even at a very relaxed statistical threshold (p?PD173074 molecular weight of coherent versus incoherent motion could be explained by a change of the signal-to-noise ratio of the pattern of voxel biases. We therefore calculated the absolute t-value for comparing clockwise and anti-clockwise motion across all runs in the data set, separately for the coherent and incoherent contexts. We reasoned that an increased signal-to-noise ratio would be reflected in a greater proportion of significantly biased (p?GUCY1B3 some tentative evidence that indeed the voxels may have been more biased during coherent than incoherent motion. In Ulixertinib datasheet the flat maps in Fig. S1 we plotted the absolute t-values for comparing clockwise and anti-clockwise motion for the coherent and incoherent context of V1d (representing the curve quadrant) in one participant. This map illustrates that when motion was coherent, more voxels exhibited a bias for the direction of motion, which resulted in above chance decoding for the coherent context only. The interpretation of our results requires that participants maintained accurate fixation throughout this experiment. While viewing the drifting Gabor stimuli they were asked to fixate on a small cross and press a response button whenever the cross changed luminance. Moreover, for two participants we tracked eye movements during the scan. Both measures indicate that participants maintained good fixation and were attentive (hit rate: 71.8%; see Supplementary information for full details of analyses). We also tested whether our MVPA results could be attributed to the size of overall signal evoked by the coherent and incoherent contexts. We conducted standard univariate analyses using a general linear model to estimate the overall activity evoked by each experimental condition within the quarter-field representations of retinotopic areas V1�CV3 (Fig.?4).