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Dissociating implicit and explicit ensemble representations reveals the limits of visual perception and the richness of behavior

Title: Dissociating implicit and explicit ensemble representations reveals the limits of visual perception and the richness of behavior
Authors: Sabrina Hansmann-Roth; Árni Kristjánsson; David Whitney; Andrey Chetverikov
Source: Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Publisher Information: Nature Portfolio, 2021.
Publication Year: 2021
Collection: LCC:Medicine; LCC:Science
Subject Terms: Medicine; Science
Description: Abstract Our senses provide us with a rich experience of a detailed visual world, yet the empirical results seem to suggest severe limitations on our ability to perceive and remember. In recent attempts to reconcile the contradiction between what is experienced and what can be reported, it has been argued that the visual world is condensed to a set of summary statistics, explaining both the rich experience and the sparse reports. Here, we show that explicit reports of summary statistics underestimate the richness of ensemble perception. Our observers searched for an odd-one-out target among heterogeneous distractors and their representation of distractor characteristics was tested explicitly or implicitly. Observers could explicitly distinguish distractor sets with different mean and variance, but not differently-shaped probability distributions. In contrast, the implicit assessment revealed that the visual system encodes the mean, the variance, and even the shape of feature distributions. Furthermore, explicit measures had common noise sources that distinguished them from implicit measures. This suggests that explicit judgments of stimulus ensembles underestimate the richness of visual representations. We conclude that feature distributions are encoded in rich detail and can guide behavior implicitly, even when the information available for explicit summary judgments is coarse and limited.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2045-2322
Relation: https://doaj.org/toc/2045-2322
DOI: 10.1038/s41598-021-83358-y
Access URL: https://doaj.org/article/9d6e2f0c4e5c4cca9e614b59f9d4d2f5
Accession Number: edsdoj.9d6e2f0c4e5c4cca9e614b59f9d4d2f5
Database: Directory of Open Access Journals