ArticleFrontiers in neuroscience2019
In Praise of Artifice Reloaded: Caution With Natural Image Databases in Modeling Vision.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed.
- RAID-Dataset: human responses to affine image distortions and Gaussian noise.Scientific data · 2026Article
- Orthogonal neural representations support perceptual judgments of natural stimuli.Scientific reports · 2025Article
- Estimating the contribution of early and late noise in vision from psychophysical data.Journal of vision · 2025Article
- A Turing Test for artificial nets devoted to vision.Frontiers in artificial intelligence · 2025Article
- Plaid masking explained with input-dependent dendritic nonlinearities.Scientific reports · 2024Article
- Orthogonal neural representations support perceptual judgements of natural stimuli.bioRxiv : the preprint server for biology · 2024Article
- Alignment of color discrimination in humans and image segmentation networks.Frontiers in psychology · 2024Article
- Article
- On the synthesis of visual illusions using deep generative models.Journal of vision · 2022Article
- Contrast sensitivity functions in autoencoders.Journal of vision · 2022Article
- Spatio-chromatic information available from different neural layers via Gaussianization.Journal of mathematical neuroscience · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Subjective image quality databases are a major source of raw data on how the visual system works in
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Registered trials
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.