Published January 26, 2023 | Version Supplemental Material + In Press
Journal Article Open

Extracting probability in the absence of visual awareness

Abstract

Extracting statistical regularities from the environment is crucial for survival. It allows us to learn cues for where and when future events will occur. Can we learn these associations even when the cues are not consciously perceived? Can these unconscious processes integrate information over long periods of time? We show that human visual system can track the probability of location contingency between an unconscious prime and a conscious target over a period of time of minutes. In a series of psychophysical experiments, we adopted an exogenous priming paradigm and manipulated the location contingency between a masked prime and a visible target (i.e., how likely the prime location predicted the target location). The prime's invisibility was verified both subjectively and objectively. Although the participants were unaware of both the existence of the prime and the prime-target contingency, our results showed that the probability of location contingency was tracked and manifested in the subsequent priming effect. When participants were first entrained into the fully predictive prime-target probability, they exhibited faster responses to the more predictive location. On the contrary, when no contingency existed between the prime and target initially, participants later showed faster responses to the less predictive location. These results were replicated in two more experiments with increased statistical power and a fine-grained delineation of prime awareness. Together, we report that the human visual system is capable of tracking unconscious probability over a period of time, demonstrating how implicit and uncertain regularity guides behavior.

Additional Information

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. We are grateful for the research funding provided by the James Boswell Postdoctoral Fellowship and the Caltech BBE Divisional Postdoctoral Fellowship to S.-M.H., the Yushan Young Scholar Program (NTU-110V0202) and the Ministry of Science and Technology Research Grant (109-2410-H-002-004-MY3) to P.-J. H., and National Institute of Aging R01 (R01AG063857) to S.-M.H., D.-A. W., and S. S. Open Practices Statement. None of the reported experiments or pilot experiments in this article was preregistered. The data have not been made available on a permanent third-party archive but are available upon request to the corresponding author.

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Additional details

Identifiers

Eprint ID
119310
Resolver ID
CaltechAUTHORS:20230215-30605800.14

Funding

James G. Boswell Foundation
Caltech Division of Biology and Biological Engineering
Yushan Young Scholar Program
NTU-110V0202
Ministry of Science and Technology (Taipei)
109-2410-H-002-004-MY3
NIH
R01AG063857

Dates

Created
2023-04-12
Created from EPrint's datestamp field
Updated
2023-04-12
Created from EPrint's last_modified field

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