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Probability Matching as a Computational Strategy Used in Perception

Wozny, DR; Beierholm, UR; Shams, L; (2010) Probability Matching as a Computational Strategy Used in Perception. PLoS Computational Biology , 6 (8) , Article e1000871. 10.1371/journal.pcbi.1000871. Green open access

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Abstract

The question of which strategy is employed in human decision making has been studied extensively in the context of cognitive tasks; however, this question has not been investigated systematically in the context of perceptual tasks. The goal of this study was to gain insight into the decision-making strategy used by human observers in a low-level perceptual task. Data from more than 100 individuals who participated in an auditory-visual spatial localization task was evaluated to examine which of three plausible strategies could account for each observer's behavior the best. This task is very suitable for exploring this question because it involves an implicit inference about whether the auditory and visual stimuli were caused by the same object or independent objects, and provides different strategies of how using the inference about causes can lead to distinctly different spatial estimates and response patterns. For example, employing the commonly used cost function of minimizing the mean squared error of spatial estimates would result in a weighted averaging of estimates corresponding to different causal structures. A strategy that would minimize the error in the inferred causal structure would result in the selection of the most likely causal structure and sticking with it in the subsequent inference of location-"model selection." A third strategy is one that selects a causal structure in proportion to its probability, thus attempting to match the probability of the inferred causal structure. This type of probability matching strategy has been reported to be used by participants predominantly in cognitive tasks. Comparing these three strategies, the behavior of the vast majority of observers in this perceptual task was most consistent with probability matching. While this appears to be a suboptimal strategy and hence a surprising choice for the perceptual system to adopt, we discuss potential advantages of such a strategy for perception.

Type: Article
Title: Probability Matching as a Computational Strategy Used in Perception
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pcbi.1000871
Publisher version: http://dx.doi.org/10.1371/journal.pcbi.1000871
Language: English
Additional information: © 2010 Wozny et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: MINDS EYES MOVEMENT, RANDOM SEQUENCES, SMART, INTEGRATION, INFORMATION, INFERENCE, TEXTURE, ABILITY, VISION, SLANT
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/142662
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