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parietal (spatial) = where/how pathway |
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What did Ungerleider & Mishkin’s lesion studies reveal |
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That there are separate regions in the brain for object recognition and spatial processing |
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Objects and Faces (object recognition, face perception) |
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Complex object recognition |
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Inferior Temporal Cortex (IT) |
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Located on temporal lobe; selectively responds to just faces, and nothing else (humans, monkeys, smiley faces, etc.) |
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Fusiform Face Area: Nancy Kanwisher (1997) |
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This area contains place cells, which can map environment monkeys have been in before, just from electrodes in their brain! |
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Parahippocampal Place Area |
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Responds selectively to body parts (not the face) |
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Cannot recognize faces (damage to FFA) |
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Failure to recognize objects -- know what they are used for, but not what to call them |
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can name things, but does not know what they are used for |
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Gestalt principle; similarities in orientation or apparent connectedness |
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Gestalt principle; grouping edges than have similar orientation |
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Gestalt principle; if an edge suddenly stops, we know something is in the way |
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“Good Figure” or Pragnanz |
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Infer the simplest figure possible from what you see |
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Gestalt principle; we group similar things together into sets (based on color, texture, shape, etc.) |
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Gestalt principle; combining features makes discrimination difficult |
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Gestalt principle; spacing, location, clusters go together |
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Parallelism & Symmetry: pop-out effect |
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Gestalt principle; things that look the same or like two halves of a whole |
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Gestalt principle; things that are closer together |
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Gestalt principle; perceptual cues tell us things that are in a common region |
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Gestalt principle; when two items are linked, they go together |
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Gestalt principle; Events that occur at the same time are perceived as occurring together (ex. Flashing lights vs. stationary stars) |
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Gestalt principle; we tend to perceive things that are moving together as being in a group |
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When we perceive words in the hide and seek picture, it is due to this aspect of perception |
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Once you see one horse in the hide and seek picture, you see many more. |
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the ability to differentiate between different stimuli based on textures |
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Developed by Oliver Selfridge (1957); decision-making by committee |
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Avoid accidents, honor physics |
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Beiderman; focuses on geons |
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Recognition-by-components theory |
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each geon has its own unique set of NAPs that are relatively consistent across viewpoints |
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principle of the recognition-by-components model that states that we can rapidly and correctly identify an object if we can perceive its individual geons |
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Principle of Componential Recovery |
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Figure is surrounded by ground |
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have a preferences for things that are below the horizon |
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when the image projected on our retina misleads us; relative size, discrimination rules, and depth cues are violated |
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Background and multiple meaningful objects |
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the thing we are acting upon in a scene |
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extended area where the action occurs |
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What did Li Fei-Fei (2007)'s studies reveal? |
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~27 ms : Shape and features; no objects yet; ~67 ms: Some object recognition (large objects) and the “gist” of the scene; ~500 ms: Detailed object recognition |
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Visual persistance of memory |
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275 ms of memory (Iconic memory) |
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Global image feature; nature has textured zones and undulating contours (Beach), city has straight horizontal and vertical lines |
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global image feature; small, smooth scenes vs. detailed, rough scenes |
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global image feature; whether a scene has a wide-open horizon or none |
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Convergence of parallel lines |
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Global image feature; Suggests the depth of the scene; very fast computation; Very fast computation of information (~500 ms) |
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global image feature; nature has lots of greens and blacks, cities have steel, grays, reds |
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preference for horizontals and verticals over other contours |
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Light from Above Heuristic |
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make inferences based on how the lighting appears to be coming into the scene |
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Importance of Potter & Colleagues (1974) |
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Recognized target with 100 accuracy @ 250 ms |
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evidence that there are neurons tuned to respond to different types of gestalt grouping heuristics |
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Neurons in V1 tuned to respond to context; firing rate responded to what was around them |
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Zapidia & colleges (1995) |
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Contextual Modulation: the rate of the neuron depends on the context of the stimuli; response of individual cell is modulated by the things that surround it |
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Surround bar with square = high response; Put a square away from the green bar = low response; suggested that cells in V1 are responding to figure-ground relationships |
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Wanted to find out what it takes to get a neuron to fire/how to tell whether or not someone has perceived a stimulus |
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Sheinberg & Logothetis (1997) |
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Perception (actually attending to the stimuli) can increase the amplitude of the neural (receptor’s) response |
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ONLY WHAT THEY WERE PERCEIVING WAS CHANGING, NOT WHAT THEY WERE SEEING |
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Focusing on something while excluding everything else; giving priority to one sense/stimulus while excluding everything else; ex, cocktail party effect |
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The Spotlight of Attention Model |
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We are constantly casting our beam out and searching for stuff to focus on our fovea |
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AKA vigilance; example is an air traffic controller, boat captain, etc. |
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ex, texting while driving |
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directing sense organ to a stimulus |
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attending without directing |
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Eye pauses to take in information; about 3 per second |
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Ways for a stimulus to be salient |
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orientation, color change, knowledge, |
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Happen when the target shares two or more features with the distractors |
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Self-terminating serial search – when you find the item you are looking for, you stop looking |
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If we have to go through multiple features, we have to put them together to decide if they are the target |
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Feature Integration Theory |
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Treisman & Colleagues (1996); involves the pre-attentive stage and the directive attention stage |
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all features are processed in parallel |
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Direct (focused) attention stage |
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Relationships among shared features are analyzed/compared |
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Psychological phenomenon whereby participants involved in a fast visual search will falsely combine features of two objects into one object. For example, after visual presentation of a red B, blue S and green T, a proportion of participants will report seeing a blue B, red S and green T. |
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Colby & Colleagues (1995) |
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Monkeys were trained to do a task à flashed a light, found that neurons responded to it; if they trained the monkey to direct its attention toward a stimulus, the firing rate of the neuron was enhanced through attention |
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The Attentional Blink task |
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Attentional capacity is limited to measures the speed at which we can capture a stimulus, process it, then re-deploy our attention to catch the next stimulus; when presented with a rapid stream of information, we’re bound to miss something |
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Rapid Serial Visual Presentation (RSVP) |
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Series of stimuli presented rapidly, one at a time; vary the number if items and amount of time between the targets |
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brain wave that occurs 300 ms after you have seen a stimulus; happens when you see something rare and meaningful |
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Humans cannot deploy all of our attention to an entire scene at one time |
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Feature Integration Theory (FIT) |
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You have to attend to a stimulus to bind the features |
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apparent motion is created by the precise timing of blinking on-off of a particular light |
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a smaller stimulus moves in front of a large stimulus, creating the illusion of movement |
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we have motion sensors that are sensitive to one particular direction; When that direction is repeatedly presented, we stop paying attention to the stimulus |
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