Direct perception of affective valence from vision

Abstract Subjective feelings are thought to arise from conceptual and bodily states. We examine whether the valence of feelings may also be decoded directly from objective ecological statistics of the visual environment. We train a visual valence (VV) machine learning model of low-level image statis...

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Bibliographic Details
Main Authors: Saeedeh Sadeghi, Zijin Gu, Eve De Rosa, Amy Kuceyeski, Adam K. Anderson
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-53668-6
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