ArticleeNeuro
Foreground-Background Segmentation Revealed during Natural Image Viewing.
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Mapping research trends in esophageal cancer immunotherapy: A decade of thematic evolution and emerging priorities.Human vaccines & immunotherapeutics · 2026Article
- Modulatory feedback determines attentional object segmentation in a model of the ventral stream.PloS one · 2025Article
- V1 neurons are tuned to perceptual borders in natural scenes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Measuring uncertainty in human visual segmentation.PLoS computational biology · 2023Article
- Article
- The Contribution of Shape Features and Demographic Variables to Disembedding Abilities.Frontiers in psychology · 2022Article
- Resolving the Spatial Profile of Figure Enhancement in Human V1 through Population Receptive Field Modeling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Common spatiotemporal processing of visual features shapes object representation.Scientific reports · 2019Article
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7 authors.
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Abstract
One of the major challenges in visual neuroscience is represented by foreground-background segmentation. Data from nonhuman primates show that segmentation leads to two distinct, but associated processes: the enhancement of neural activity during figure processing (i.e., foreground enhancement) and the suppression of background-related activity (i.e., background suppression). To study foreground-background segmentation in ecological conditions, we introduce a novel method based on parametric modulation of low-level image properties followed by application of simple computational image-processing models. By correlating the outcome of this procedure with human fMRI activity, measured during passive viewing of 334 natural images, we produced easily interpretable "correlation images" from visual populations. Results show evidence of foreground enhancement in all tested regions, from V1 to lateral occipital complex (LOC), while background suppression occurs in V4 and LOC only. Correlation images derived from V4 and LOC revealed a preserved spatial resolution of foreground textures, indicating a richer representation of the salient part of natural images, rather than a simplistic model of object shape. Our results indicate that scene segmentation occurs during natural viewing, even when individuals are not required to perform any particular task.
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