2022
DOI: 10.31234/osf.io/njtpa
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Modeling the bandwidth of perceptual experience using deep convolutional neural networks

Abstract: When observers glance upon a natural scene, which aspects of that scene ultimately reach perceptual awareness? To answer this question, we showed observers images of scenes that had been altered in numerous ways in the periphery (e.g., scrambling, rotating, filtering, etc.) and measured how often these different alterations were noticed in an inattentional blindness paradigm. Then, we screened a wide range of deep convolutional neural network architectures and asked which layers and features best predict the r… Show more

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