PSY270H1 Lecture Notes - Change Detection, Feature Integration Theory, Retina
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PSY270H1 Full Course Notes
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Document Summary
Humans better at perceiving objects than computers due to our perceptual intelligence, knowledge gained by experience in perceiving. Process of perception = incoming stimulus + existing knowledge. Perceiving objects = objects analyzed into features, organization of stimuli. Bottom-up processing = incoming data/stimuli: seeing a moth, light reflected from moth image in her eye image triggers the process of transduction. Top-down processing = knowledge & expectations: processing that involves a persons knowledge, can collaborate with bottom-down to solve perceptual problems. Rat-man demonstration = recently acquired knowledge can influence perception. Seeing a man"s face if shown many faces previously. Seeing a rat if shown many animals beforehand. Palmer"s kitchen scene = how context can influence perception: recognizing letters and objects. The old template-matching model cannot explain letter recognition. Model: feature detectors + oriented lines, specific neuron response. Wiesel (feature detectors we respond to features that make up objects lines, edges, shape, angle, movement) The mcclelland & rumelhart word recognition model.
