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Based on the spatial and temporal statistics of natural images, a theory is developed that specifies spatiotemporal filters that maximize the flow of information through noisy channels of limited dynamic range. Sensitivities resulting from these spatiotemporal filters are very similar to the human spatiotemporal contrast sensitivity, including the dependence on ambient light intensity. The theory predicts several psychophysical laws: Ferry-Porter's law, the de Vries-Rose law, Weber's law, Bloch's law, Ricco's law, and Piper's law.
NATURAL IMAGES, RICCO LAW, Time Factors, MOTION, Light, IMAGES, Models, Neurological, WEBER LAW, TRANSDUCTION, Contrast Sensitivity, Form Perception, Photometry, INFORMATION CAPACITY, THRESHOLD SURFACE, Psychophysics, Humans, HUMAN VISION, BLOCH LAW, Mathematics
NATURAL IMAGES, RICCO LAW, Time Factors, MOTION, Light, IMAGES, Models, Neurological, WEBER LAW, TRANSDUCTION, Contrast Sensitivity, Form Perception, Photometry, INFORMATION CAPACITY, THRESHOLD SURFACE, Psychophysics, Humans, HUMAN VISION, BLOCH LAW, Mathematics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 138 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |