2 non accidental properties edges in the retinal

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2. Non-accidental properties - edges in the retinal image that correspond with the 3-D environment 3. Principle of componential recovery - the ability to recognize an object if we can identify its geons
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4/29/2013 6 B. Object Recognition Problems with structural description theories is that recognition does not seem to be entirely viewpoint- independent, even if they are made up of geonlike shapes. For example, these greebles B. Object Recognition: Summary Neurons in ventral stream brain regions are selective for different features, shapes, and objects. Some of these can emerge from input from lower levels that might reflect inferences, such as illusory contours. Two ways people have thought about how object recognition can be encoded in our brains are templates and structural description theories (e.g., Recognition-by-components). But both of these have weaknesses. Templates would require more neurons than we have in our brains to accommodate the flexibility of our recognition system. Structural descriptions don’t account for some of our limitations, like viewpoint Suggests that we must have some templates, but then also make a lot of inferences. C. Special case of faces Which of these two photos has been altered?
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4/29/2013 7 C. Faces Cells in the inferotemporal cortex of macaque monkeys are interested in specific stimuli. Faces are perhaps the most complex objects C. Faces: “grandmother” cell? Results of recording the activity of one cell in the temporal lobe of a human patient Face selectivity? But where is this cell? C. Faces: Fusiform Face Area (FFA) Responds selectively to faces
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4/29/2013 8 C. Faces: Binocular Rivalry: face or house? Activation in FFA associated with perception of face, not just registration of a physical face stimulus on the retina. C. Faces: Prosopagnosia Object agnosia: inability to recognize objects.
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  • Winter '07
  • D.Whitney
  • prosopagnosia, Fusiform Gyrus

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