Description
This Elements in Perception volume addresses a fundamental question in vision science: how does the human visual system handle the tremendous variability and heterogeneity in the visual environment? Rather than perceiving the world as a collection of independent objects, our visual system extracts statistical regularities and represents distributional properties of visual features.
Chetverikov and Kristjánsson synthesize research on ensemble coding, summary statistics, and statistical learning to explain how observers efficiently process complex, variable visual information. The book covers neural mechanisms, behavioral studies, and computational models that illuminate our capacity to rapidly extract meaningful patterns from noisy, variable sensory input.
By integrating perspectives from psychophysics, neuroscience, and computational vision, this work provides essential insights into a core principle of visual perception: our brains are fundamentally statistical processors that represent the structure and variability of the world around us.
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