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Can one-shot learning be elicited from unconscious information? use asterix (*) to get italics
Adelina-Mihaela Halchin, Christoph Teufel, Aline BompasPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
2023
<p>The human brain has the remarkable ability to make sense of highly impoverished images once relevant prior information is available. Fitting examples of this effect are two-tone images, which initially look like meaningless black-and-white patches but can become perceptually integrated into meaningful objects (or disambiguated) after seeing the corresponding greyscale (i.e., template) image, thereafter acting as prior information. Recently, it has been claimed that this type of one-shot learning can be elicited from images that participants had no conscious recognition of. In this Registered Report, we seek to thoroughly re-evaluate this claim while addressing important design and analysis limitations of the original study. We also aim to illustrate the impact that different criteria for categorizing conscious and unconscious events may have on conclusions related to the role of unconscious information. In two experiments, we will present participants with two-tone images, before and after exposure to visually congruent and incongruent greyscale images, for which likelihood of being consciously perceived is experimentally manipulated. Experiments 1 and 2 will replicate each other using different objective identification measures, free-naming or multiple-choice questions. Given the heterogeneity of measurements for evaluating (un)consciousness in the literature, we will collect both an objective measure, namely image identification, and a widely used subjective measure, namely the Perceptual Awareness Scale. We will compare our conclusions when using only the former, the latter, or combinations of these measures.&nbsp;</p>
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unconscious learning, perceptual priors, one-shot learning
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Life Sciences
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2022-11-30 00:34:07
Vishnu Sreekumar