The mind cannot make sense of the visual world out of raw image data alone. In an approach to visual processing known as learning from examples, computational neural networks and physiological studies suggest how neurons and machines adapt to novel images on the basis of past experience.

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Poggio et al. (Wed,) studied this question.

synapsesocial.com/papers/6a155055814bf8ec9a4e6598 https://doi.org/https://doi.org/10.1109/6.490058

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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Neural Networks for Pattern Recognition1995 · 12,194 citations
2Vision Chips: Implementing Vision Algorithms With Analog Vlsi Circuits1994 · 131 citations
3Low vision enhancement system1994 · 29 citations
4Calendar1971 · 2 citations
5The CNN universal machine: an analogic array computer1993 · 974 citations