Exam 3: Recognizing Objects

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A feature net is a

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According to the recognition by components (RBC) model, geons are NOT

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The Necker cube is an example of an ambiguous figure. Which of the following statements regarding the cube is NOT true?

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Participants are shown the letter-string TPUM for 30 ms and asked to identify what they saw. If they are going to answer incorrectly, which response are they most likely to give?

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English nonwords (e.g., "HICE") are easier to perceive than strings of letters not resembling English words (e.g., "RSFK") because

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Participants' recognition thresholds are

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The "word-superiority effect" refers to the fact that it is easier to recognize

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Compare and contrast the models of object recognition (McClelland and Rumelhart, geons, and multiple views).

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McClelland and Rumelhart's model of word recognition suggests detectors on separate levels can interact in a bidirectional manner. Biological evidence _____ this notion because _____.

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One type of error that can result from feature nets is overregularization. Is overregularization a significant problem?

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One might propose that pattern recognition begins with the identification of simple elements; these are then added together, like tiles within a mosaic, to allow recognition of the large-scale pattern. Which of the following statements is MOST problematic for this proposal?

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Compared to detectors that have not fired recently, a detector that HAS fired recently is likely to

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In a tachistoscopic procedure, participants are shown the sequence NACL. Evidence indicates that

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Which of the following statements is NOT true for feature-based models of pattern recognition?

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In tachistoscopic recognition, participants often make overregularization errors. These are errors in which participants

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The form of brain damage identified as prosopagnosia is primarily characterized by an inability to

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"Bottom-up" (or "data-driven") mechanisms are

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It is suggested that features have special status. Which of the following findings does NOT support this hypothesis?

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Participants in a tachistoscopic procedure are shown the sequence CQRN. Participants misperceive this string as CORN. In a feature-net account, which of the following statements probably does NOT contribute to this effect?

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The efficiency of a feature-net model occasionally leads to errors. We could avoid making word-recognition mistakes if we scrutinized each letter. Why is this a suboptimal strategy (and not the one we use)?

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