This sort of analysis, made by measuring a large set of geometrical images with a device called a laser range scanner, showed that the brain is not a calculating engine, cranking out stimulus features, but a "statistical engine" wired by evolution and a person's experience to make the best statistical guess about objects in a visual scene, based on how successful those guesses have been in the past. These two books and dozens of scientific papers have framed the questions that Purves believes researchers must ask about how vision works.
Perceiving Geometry on Apple Books
But he emphasizes that those questions have only begun to be addressed in neurobiological terms. But how do you relate this concept of vision to physiology and this anatomy? It will mean constructing a framework that explains how neurons and the connections among them operate in service of this complex, evolved statistical process called vision.
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Geometrical Illusions Explained by Natural Scene Statistics
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