Abstract

Here we took several stimulus configurations that have the same numerosity progression but vary considerably in their non-numerical visual features. We collected responses to these stimuli using ultra-high-field (7T) fMRI in a posterior parietal area that responds to changes in these stimuli. We first quantify the relationships between numerosity and several non-numerical visual features in each stimulus configuration. We then use population receptive field (pRF) modeling to quantify how well responses to each of these visual features predicts the observed responses to each stimulus configuration, and observed responses to all stimulus configurations together. We compare the predictive accuracy of responses to numerosity and to non-numerical visual features in explaining the observed responses. This provides the details of the analysis outcomes summarized in an accompanying article (10.1016/j.neuroimage.2017.02.012, NIMG-16–1350).

Highlights

  • We took several stimulus configurations that have the same numerosity progression but vary considerably in their nonnumerical visual features

  • We use population receptive field neural response models to capture responses to stimuli that vary in numerosity

  • – The presented fMRI analyses distinguish in detail between recent hypotheses of responses to numerosity or co-varying non-numerical visual features

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Summary

Data accessibility

Tables of descriptive statistics and descriptive text Ultra-high-field functional MRI, using a Philips Achieva 7T scanner. We use population receptive field (pRF) neural response models to capture responses to stimuli that vary in numerosity. We compare outcomes of numerosity response models to outcomes of alternative models of responses these non-numerical visual features. – Many studies of numerosity processing use the stimulus configurations examined here to demonstrate behavioral discriminability or neural responses to numerosity do not reflect responses to low-level visual features. – This allows researchers to see where behavioral and neural responses are consistent with responses to low-level visual features. – The presented fMRI analyses distinguish in detail between recent hypotheses of responses to numerosity or co-varying non-numerical visual features. – Data were acquired with ultra-high-field 7T fMRI, a technology unavailable to most researchers

Data description
Convex hull perimeter and convex hull area
Display RMS contrast and convex hull RMS contrast
High spatial frequency contrast energy
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