Efficient coding of natural scene statistics predicts discrimination thresholds for grayscale textures
| Autor: | Tiberiu Tesileanu, Jonathan D. Victor, Vijay Balasubramanian, Mary M. Conte, Ann M Hermundstad, John J Briguglio |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Adult Male Light QH301-705.5 Science efficient coding Physics of Living Systems Grayscale General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Young Adult 0302 clinical medicine Salience (neuroscience) psychophysics natural images Psychophysics Humans Biology (General) Mathematics texture perception General Immunology and Microbiology business.industry General Neuroscience Binary image Scene statistics Pattern recognition General Medicine Limiting Middle Aged Visual sensitivity 030104 developmental biology Pattern Recognition Visual Salient FOS: Biological sciences Quantitative Biology - Neurons and Cognition Medicine Neurons and Cognition (q-bio.NC) Female Artificial intelligence business Research Advance 030217 neurology & neurosurgery Photic Stimulation Coding (social sciences) Neuroscience Human |
| Zdroj: | eLife eLife, Vol 9 (2020) |
| ISSN: | 2050-084X |
| Popis: | Previously, in (Hermundstad et al., 2014), we showed that when sampling is limiting, the efficient coding principle leads to a "variance is salience" hypothesis, and that this hypothesis accounts for visual sensitivity to binary image statistics. Here, using extensive new psychophysical data and image analysis, we show that this hypothesis accounts for visual sensitivity to a large set of grayscale image statistics at a striking level of detail, and also identify the limits of the prediction. We define a 66-dimensional space of local grayscale light-intensity correlations, and measure the relevance of each direction to natural scenes. The "variance is salience" hypothesis predicts that two-point correlations are most salient, and predicts their relative salience. We tested these predictions in a texture-segregation task using un-natural, synthetic textures. As predicted, correlations beyond second order are not salient, and predicted thresholds for over 300 second-order correlations match psychophysical thresholds closely (median fractional error 33 pages, 12 figures |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|