ArticlePloS one2020
Population coding of figure and ground in natural image patches by V4 neurons.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 18 citations in OpenAlex.
- Gestalt laws enhance the representation of figures over backgrounds in the visual cortex and influence contrast perception.Scientific reports · 2026Article
- Orthogonal neural representations support perceptual judgments of natural stimuli.Scientific reports · 2025Article
- Orthogonal neural representations support perceptual judgements of natural stimuli.bioRxiv : the preprint server for biology · 2024Article
- Predicting Single Neuron Responses of the Primary Visual Cortex with Deep Learning Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Article
- Functional modules for visual scene segmentation in macaque visual cortex.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Correlation between neural responses and human perception in figure-ground segregation.Frontiers in systems neuroscience · 2022Article
- Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet model.Frontiers in computational neuroscience · 2022Article
- Figure-ground responsive fields of monkey V4 neurons estimated from natural image patches.PloS one · 2022Article
- Interaction of surface pattern and contour shape in the tilt after effects evoked by symmetry.Scientific reports · 2021Article
- Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Segmentation of a natural scene into objects and background is a fundamental but challenging task for recognizing objects. Investigating intermediate-level visual cortical areas with a focus on local information is a crucial step towards understanding the formation of the cortical representations of figure and ground. We examined the activity of a population of macaque V4 neurons during the presentation of natural image patches and their respective variations. The natural image patches were optimized to exclude the influence of global context but included various characteristics of local stimulus. Around one fourth of the patch-responsive V4 neurons exhibited significant modulation of firing activity that was dependent on the positional relation between the figural region of the stimulus and the classical receptive field of the neuron. However, the individual neurons showed low consistency in figure-ground modulation across a variety of image patches (55-62%), indicating that individual neurons were capable of correctly signaling figure and ground only for a limited number of stimuli. We examined whether integration of the activity of multiple neurons enabled higher consistency across a variety of natural patches by training a support vector machine to classify figure and ground of the stimuli from the population firing activity. The integration of the activity of a few tens of neurons yielded discrimination accuracy much greater than that of single neurons (up to 85%), suggesting a crucial role of population coding for figure-ground discrimination in natural images.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.