Error reduction during visual processing by the retina?a paradigm for sensor design
作者： Martin Liess , Klaus Nippert
DOI: 10.1088/0957-0233/17/4/030
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摘要: We use a general second-order mathematical description of sensing, sensory information acquisition and pre-processing to treat biological vision in analogy technical sensor. Using very early visual processing by the retina, i.e. retinal receptive fields, we compare structure interconnection photoreceptors, bipolar ganglion cells that evolved vertebrates with other structures interconnections would serve same purpose generating an image contrasts supplying it brain. are able show ladder-type vertebrate retina approaches ideal behaviour (with respect high linearity low error sensitivity) is most tolerant imperfection its constituent elements, different nerve cells. Since model presented general, can be applied systems as well. The application (which, from modelling point view, derives straightforward way known facts about physiology) useful if sensor design. In particular shows how nonlinearities, error- cross sensitivities entire system reduced among elements.
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