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Scatter plot of partial correlations for the component prediction (R c ) and pattern prediction (R p ) of 67 direction-selective neurones sampled within the owl visual wulst. The graph shows partial correlations in response to 90° plaids. The bullet-shaped line divides the plot into three zones of interest. Points falling in the region marked COMPONENT indicate cells whose R c significantly exceeds either zero or the value of R p . Such cells are classified as component direction selective (CDS). Similarly, data points belonging to the region marked PATTERN contain those cells for which R p significantly exceeds either zero or the value of R c . Such cells are classified as pattern direction selective (PDS). The intermediate region referred to as UNCLASSIFIED contains cells for which neither correlation coefficient differed from zero or the two coefficients did not differ significantly from each other. Cells classified as CDS are indicated as black filled circles, whereas those unclassified by the partial correlation method are indicated as open circles. Note that no cell satisfies the requirements for PDS classification. The statistical procedure used to define the three regions of interest in the scatterplot is based on a critical value of t for 10% level of significance (for more details see Data analysis section in Materials and methods).

Scatter plot of partial correlations for the component prediction (R c ) and pattern prediction (R p ) of 67 direction-selective neurones sampled within the owl visual wulst. The graph shows partial correlations in response to 90° plaids. The bullet-shaped line divides the plot into three zones of interest. Points falling in the region marked COMPONENT indicate cells whose R c significantly exceeds either zero or the value of R p . Such cells are classified as component direction selective (CDS). Similarly, data points belonging to the region marked PATTERN contain those cells for which R p significantly exceeds either zero or the value of R c . Such cells are classified as pattern direction selective (PDS). The intermediate region referred to as UNCLASSIFIED contains cells for which neither correlation coefficient differed from zero or the two coefficients did not differ significantly from each other. Cells classified as CDS are indicated as black filled circles, whereas those unclassified by the partial correlation method are indicated as open circles. Note that no cell satisfies the requirements for PDS classification. The statistical procedure used to define the three regions of interest in the scatterplot is based on a critical value of t for 10% level of significance (for more details see Data analysis section in Materials and methods).

Contexts in source publication

Context 1
... when we artificially compensated for this angular deviation by rotating the actual plaid tuning curve by a 45° clockwise angle, the cell became CDS with R c ¼ 0.60 and R p ¼ )0.23. Figure 5 shows a scatter plot in which the values of the pattern and component correlation coefficients of all direction-selective visual wulst neurones are plotted against one another, as first used by Movshon et al. (1985). The plot is divided into three statistically distinct regions that were used to categorize neurones as CDS, PDS or unclassifiable (regions labelled as COMPONENT, PATTERN or UNCLASSIFIED, respectively). ...
Context 2
... stimulus onset and expanding by 50 ms in each successive analysis window. The temporal evolution of these coefficients is shown for five representative cells (Fig. 9A) and for the whole population of direction-selective neurones (Fig. 9B). The colour assignment of the data points in these plots refers to the cell classification established in Fig. 5, thereby providing a means of comparing this previous classification with that obtained for the first 200 ms of stimulation. Two features stand out from this figure. The first concerns the population of unclassified cells, which maintain themselves steady in the UNCLASSIFIED region from as early as the first 50 ms window except for one ...

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