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When the human eye sees a word or an object, it uses a network of detectors, organized in layers, going from the least complex to the most. The bottom layer, is concerned with features, and therefore is called a feature net. These detectors range in their need for strong or weak inputs in order to make them fire. Each detector has an activation level, a response threshold, and a baseline activation level. The activation level …

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…correct itself, and usually does so very quickly. Feature nets also are not used to recognize faces. This means that there must be some other type of recognition system functioning at the same time. Feature nets explain how we recognize what we see in a speedy and efficient fashion. They allow us to recognize what we need to without having to think for a lengthy period of time, in order to identify what we see.