ArticleFrontiers in psychology2020
Perceptual Learning at Higher Trained Cutoff Spatial Frequencies Induces Larger Visual Improvements.
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Comparing conventional and action video game training in visual perceptual learning.Scientific reports · 2024Article
- Mechanisms Underlying Directional Motion Processing and Form-Motion Integration Assessed with Visual Perceptual Learning.Vision (Basel, Switzerland) · 2022Article
- Long-term training reduces the responses to the sound-induced flash illusion.Attention, perception & psychophysics · 2022Article
- The effect of initial performance on motion perception improvements is modulated by training method.Attention, perception & psychophysics · 2022Article
- Multi-Stage Cortical Plasticity Induced by Visual Contrast Learning.Frontiers in neuroscience · 2020Article
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Authors and funding
9 authors.
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Abstract
It is well known that extensive practice of a perceptual task can improve visual performance, termed perceptual learning. The goal of the present study was to evaluate the dependency of visual improvements on the features of training stimuli (i.e., spatial frequency). Twenty-eight observers were divided into training and control groups. Visual acuity (VA) and contrast sensitivity function (CSF) were measured and compared before and after training. All observers in the training group were trained in a monocular grating detection task near their individual cutoff spatial frequencies. The results showed that perceptual learning induced significant visual improvement, which was dependent on the cutoff spatial frequency, with a greater improvement magnitude and transfer of perceptual learning observed for those trained with higher spatial frequencies. However, VA significantly improved following training but was not related to the cutoff spatial frequency. The results may broaden the understanding of the nature of the learning rule and the neural plasticity of different cortical areas.
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