1
Q
What is the cognitive-psychology definition of perception?
A
Perception is the set of experiences that arise from stimulation of the senses (not merely the raw sensory input).
2
Q
How does Crystal’s ‘driftwood → umbrella’ episode illustrate the dynamic nature of perception?
A
It shows that perceptions can change when new information is added (e.g., getting closer, changing angle, recalling memory), rather than being fixed by the initial retinal image.
3
Q
Which cognitive process—besides sensation—helped Crystal identify the umbrella?
A
Memory (she recalled seeing the umbrella the day before), showing perception’s reliance on stored knowledge.
4
Q
What perceptual ‘rule’ did Crystal apply when she assumed the coiled rope was continuous beneath the umbrella handle?
A
The occlusion/continuity rule: when one object overlaps another, the hidden object is assumed to continue behind it.
5
Q
Why can perception be described as a form of fast ‘reasoning’ or problem solving?
A
Because it involves unconscious inferences that integrate sensory input with prior knowledge to arrive at likely interpretations.
6
Q
If perception feels automatic, what does the textbook argue is actually happening?
A
Complex, rapid, and normally invisible cognitive processes are occurring that mimic slower reasoning.
7
Q
Give an everyday example showing that perception is tightly coupled with action.
A
Reaching for a coffee cup requires seeing it, judging its location, planning movement, and grasping—all in real time.
8
Q
Even while sitting still, what constant movement supports continuous perception?
A
Microsaccades and voluntary eye movements help refresh visual input and shift attention.
9
Q
Why does the author call perception the ‘gateway’ to the rest of cognition?
A
Because accurate perception underpins memory, problem-solving, communication, knowledge acquisition, and more.
10
Q
What does the PNC Park city scene example show about human visual perception?
A
It shows that humans can effortlessly interpret complex visual scenes—like separating buildings, surfaces, and shadows—even though the retinal image itself is ambiguous.
11
Q
Why is it difficult to explain how we arrive at visual interpretations in scenes like the one at PNC Park?
A
Because perception involves unconscious reasoning based on experience and assumptions, which we usually aren’t aware of.
12
Q
In the PNC Park scene, why is the dark area labeled ‘A’ considered a perceptual puzzle?
A
Because it could be a shadow or a dark-colored building—highlighting that identical retinal input can lead to different interpretations.
13
Q
Why must the brain ‘go beyond’ the image formed on the retina to perceive objects accurately?
A
Because a 2D retinal image can represent multiple 3D real-world structures, so perception requires the brain to infer the most likely interpretation.
14
Q
In visual perception, what problem is illustrated by deciding whether building D continues behind building A in the PNC Park example?
A
This shows that depth and occlusion judgments require inference, since the retinal image doesn’t directly reveal what’s behind.
15
Q
What does the difficulty of programming computers to interpret visual scenes like PNC Park suggest about perception?
A
It suggests that human perception involves complex reasoning that even powerful computers struggle to replicate.
16
Q
Why can the same visual pattern—like a shape or shadow—come from different real-world objects?
A
Because visual input is inherently ambiguous, and the same pattern on the retina can be caused by many different objects or lighting conditions.
17
Q
What did early researchers in the 1950s believe about how quickly computer vision systems could be developed?
A
They believed machine vision systems would rival human vision within a decade—but they vastly underestimated the complexity of visual perception.
18
Q
Why did early computer vision systems struggle to identify simple objects?
A
Because they required extensive calculations and lacked the contextual knowledge and flexibility that human perception uses automatically.
19
Q
What is the significance of the 1987 founding of the International Journal of Computer Vision?
A
It marked the beginning of serious academic focus on solving perceptual problems using computer systems, highlighting the field’s growing complexity.
20
Q
What did the 2004 DARPA Grand Challenge reveal about the state of computer vision in real-world navigation?
A
That even the best vehicle (from Carnegie Mellon) managed only 7.3 miles, showing how hard it is for computers to use vision for autonomous navigation.
21
Q
What major limitation still affects modern computer vision systems compared to human perception?
A
Computers lack a lifelong store of real-world knowledge, which limits their ability to accurately interpret visual scenes and context.
22
Q
Why can computer vision systems make bizarre errors, such as misidentifying random objects as tennis balls?
A
Because they rely heavily on shape similarity and don’t understand context the way humans do.
23
Q
What does the comparison between driverless cars and humans suggest about visual perception?
A
That despite major advances, humans still outperform computers at visual recognition due to their experience, context awareness, and flexible reasoning.
24
Q
What is the inverse projection problem in visual perception?
A
It refers to the difficulty of determining the actual object in the environment that caused a given image on the retina; because many different objects can create the same retinal image.
25
Why is the retinal image considered ambiguous?
Because the same image on the retina could be caused by many different real-world objects with varying shapes; sizes; or distances.
26
How do humans solve the inverse projection problem so easily compared to computers?
Humans use prior experience; context; and unconscious inference to determine the most likely object behind a retinal image—skills that are difficult to program into computers.
27
What perceptual challenge arises when objects are partially hidden or blurred?
Despite occlusion or poor focus; humans can still recognize objects by filling in missing information using prior knowledge and environmental context.
28
Why do hidden or blurry objects create problems for computer vision systems?
Because computers struggle to infer missing parts or recognize degraded images without detailed programming or extensive training data.
29
What is viewpoint invariance in object recognition?
It’s the ability to recognize an object from different angles or perspectives; even though the image changes each time.
30
How do humans and computers differ in achieving viewpoint invariance?
Humans naturally recognize objects from multiple angles; while computers require complex calculations and struggle with unfamiliar viewpoints.
31
What makes visual scene perception harder than object perception alone?
Scenes often contain many objects and require reasoning to interpret high-level meaning (e.g. recognizing an airshow vs. an airport).
32
Why is recognizing the context of a scene (e.g. an airshow) difficult for computers?
Because it requires real-world knowledge; such as understanding what types of planes are in service and what behavior is typical for passengers vs. visitors.
33
What two types of information does the human perceptual system use to interpret scenes?
(1) Environmental energy that stimulates the receptors and (2) the observer’s prior knowledge and expectations about the world.
34
What is bottom-up processing in perception?
Bottom-up processing starts with environmental energy stimulating the receptors and proceeds through the sensory system toward the brain.
35
What is top-down processing in perception?
Top-down processing originates in the brain and is based on prior knowledge; expectations; and experiences that shape how sensory input is interpreted.
36
How does the “multiple personalities of a blob” example demonstrate top-down processing?
The same blob image is perceived as different objects depending on its surrounding context; because our knowledge of likely objects in each scene influences what we see.
37
What does the “Spanish restaurant” example illustrate about speech perception?
It shows that if you don't know the language; speech sounds like a continuous stream—highlighting the importance of top-down knowledge for speech segmentation.
38
What is speech segmentation?
It’s the ability to perceive individual words within the continuous flow of speech; which is strongly influenced by prior knowledge of the language.
39
Why do listeners familiar with a language perceive speech segmentation more accurately?
Because they have top-down knowledge of that language’s vocabulary; grammar; and transitional probabilities between sounds.
40
What are transitional probabilities in language learning?
They refer to the likelihood that one sound will follow another; helping listeners group sounds into likely word units.
41
What is statistical learning?
Statistical learning is the process of detecting regularities; such as transitional probabilities; in the environment—especially in language.
42
What did Saffran et al. (1996) study about infant speech perception?
They showed that infants as young as 8 months can use transitional probabilities to segment continuous speech into words.
43
How did the Saffran study test whether infants recognized whole words vs. part words?
Infants were played both familiar “whole word” stimuli and novel “part word” stimuli; and they listened longer to the novel part words.
44
What did the results of the Saffran study suggest about infant perception?
Infants can use statistical learning to detect word boundaries in continuous speech; showing top-down influence even at an early age.
45
What does Helmholtz’s theory of unconscious inference propose about object perception?
That we perceive the object most likely to have caused the retinal image; based on unconscious assumptions derived from past experience.
46
What is the likelihood principle in perception according to Helmholtz?
It states that we perceive the object that is most likely to have produced the observed pattern of sensory stimulation.
47
Why is perception considered "unconscious" in Helmholtz’s theory?
Because the inferences we make about what we’re seeing happen automatically and without our awareness.
48
How does Helmholtz’s view of perception relate to problem solving?
Perception is like solving a problem: the brain infers the most probable cause of sensory input based on prior knowledge.
49
What did Gestalt psychologists argue against in Wundt’s structuralist theory?
They rejected the idea that perception is formed by simply adding up basic sensations; instead they argued the whole is different than the sum of its parts.
50
What is apparent movement and why was it important to Gestalt theory?
Apparent movement is the illusion of motion when two lights flash in sequence; it cannot be explained by sensations alone and supports the idea of perceptual organization.
51
What conclusion did Max Wertheimer draw from apparent movement?
That the whole is different than the sum of its parts; and perception involves organizational processes beyond raw sensory input.
52
How does Gestalt theory differ from Helmholtz’s approach to object perception?
Gestalt theory emphasizes innate perceptual grouping principles; while Helmholtz focused on unconscious inference based on experience.
53
What does the illusion of a moving light between two flashing lights illustrate?
That perception can add meaning where none exists physically; in this case
54
How do Gestalt principles help explain object perception?
They describe how elements in a visual scene are grouped to form coherent objects; based on how the visual system organizes information.
55
What is the Gestalt principle of good continuation?
It states that points connected by smooth lines are perceived as belonging together; and overlapping objects are seen as continuing behind the object that covers them.
56
How does the coiled rope example illustrate the principle of good continuation?
Despite overlaps; the rope is perceived as a single continuous strand because the visual system follows the smoothest path.
57
What does the principle of Pragnanz (or good figure) state?
Every stimulus pattern is perceived in the simplest way possible; the resulting structure is the most orderly or "good" figure.
58
How does the Olympic symbol demonstrate the principle of Pragnanz?
We perceive the display as five interlocking circles rather than as complex
59
What is the Gestalt principle of similarity?
Elements that are similar in color
60
How does changing the color of circles in a grid influence perceptual grouping?
It causes grouping by similarity; people tend to see columns or rows based on color even if the spacing is uniform.
61
According to Gestalt theory
what determines perceptual organization?
62
What are intrinsic laws in Gestalt psychology?
They are innate principles that govern how we organize visual information; such as good continuation or similarity.
63
How does the Gestalt view of perception differ from Helmholtz’s theory?
Gestalt theorists argue that innate organizational laws dominate perception; while Helmholtz emphasizes learned experience and inference.
64
How does Gestalt theory compare with modern approaches to object perception?
Modern approaches
65
What are regularities in the environment in the context of visual perception?
They are characteristics that occur frequently in the environment; which influence how we perceive objects and scenes.
66
What is the difference between physical regularities and semantic regularities?
Physical regularities are structural properties of the environment; semantic regularities relate to the meaning and function of scenes.
67
What is the oblique effect in perception?
People perceive vertical and horizontal orientations more easily than oblique (angled) ones; due to their higher frequency in the environment.
68
What does the light-from-above assumption demonstrate about visual perception?
We assume light comes from above; so shading affects how we perceive indentations and bumps depending on the direction of the shadow.
69
How do physical regularities influence perception of overlapping objects?
We tend to assume that a partially covered object continues behind the occluder; based on past experience with physical layouts.
70
How does the sand indentation example illustrate the light-from-above assumption?
Flipping the image changes whether we see bumps or indentations; because shading interacts with our assumption about light direction.
71
What are semantic regularities in scene perception?
They are characteristics associated with the meaning or function of a scene; such as cooking in a kitchen or waiting in an airport.
72
What is a scene schema?
It is a mental framework based on prior knowledge about what typically occurs in a particular type of scene; such as objects or actions.
73
How do scene schemas influence object perception?
They create expectations about what objects are likely to be present; helping us perceive fitting objects more quickly.
74
What did Palmer’s (1975) kitchen scene experiment demonstrate about semantic regularities?
People recognized objects that fit the scene (e.g. bread in a kitchen) faster than those that didn’t (e.g. mailbox); showing the effect of scene schemas.
75
How is the use of scene regularities similar to language processing?
Just as we unconsciously use transitional probabilities to segment speech; we also unconsciously use environmental regularities to perceive objects and scenes.
76
What is Bayesian inference in object perception?
A probabilistic approach that combines prior knowledge with current sensory evidence to estimate the most likely cause of a perceptual input.
77
Who is Bayesian inference named after?
Thomas Bayes; an 18th-century mathematician who developed a theory of probability based on updating beliefs using evidence.
78
What are the two components of Bayesian inference?
(1) Prior probability: the initial belief about the likelihood of an outcome; and (2) Likelihood: how consistent the current evidence is with that outcome.
79
In Bayesian terms; what is the "prior"?
The observer’s initial belief about the probability of an outcome based on past experience or knowledge.
80
In Bayesian terms; what is the "likelihood"?
The extent to which the current evidence (sensory input) supports a particular outcome or interpretation.
81
How does Bayesian inference solve the inverse projection problem?
By using prior knowledge to reduce the number of possible interpretations of a retinal image; making perception more efficient and accurate.
82
What example illustrates Bayesian inference in everyday reasoning?
If someone hears a cough and believes colds are more common than lung disease; they infer a cold is more likely—this is Bayesian reasoning.
83
How does Bayesian inference relate to Helmholtz’s theory of unconscious inference?
Bayesian inference restates Helmholtz’s idea—“we perceive what is most likely”—but frames it in terms of probabilities and evidence.
84
Is Bayesian inference a conscious process?
No; like Helmholtz’s inferences
85
Why is Bayesian inference useful for computer vision?
It provides a structured way to combine prior knowledge with visual input; helping machines make more accurate perceptual judgments.
86
What is experience-dependent plasticity?
It is the process by which neurons adapt their responses based on experience; tuning themselves to stimuli that occur regularly in the environment.
87
How does the oblique effect relate to brain physiology?
There are more neurons in the visual cortex that respond to vertical and horizontal orientations than to oblique ones; reflecting environmental regularities.
88
What does natural selection have to do with perception?
It may have favored visual systems that are tuned to common environmental features; such as verticals and horizontals
89
What was the result of Blakemore and Cooper’s kitten experiment?
Kittens raised in vertical or horizontal environments developed more neurons that responded to those orientations—evidence for experience-dependent plasticity.
90
What area of the brain is especially responsive to faces?
The fusiform face area (FFA) in the temporal lobe responds strongly to human faces.
91
What are greebles and how were they used in face perception research?
Greebles are computer-generated objects used to train participants in object recognition; showing that the FFA can respond to learned complex objects.
92
What did Gauthier’s greeble experiment reveal about the FFA?
With training
93
How does expertise affect neural responses in the FFA?
Experts in cars or birds show stronger FFA responses to those objects—indicating that FFA activity reflects experience
94
What does it mean to say neurons can “reflect knowledge about the environment”?
It means that through repeated exposure
95
What two sources of information influence perception?
Bottom-up input from sensory receptors and top-down input from prior knowledge and expectations.
96
What is one functional purpose of perception according to the textbook?
To enable us to interact with the environment effectively—supporting actions like reaching
97
What is meant by the “sitting in a chair” approach to studying perception?
It refers to studying perception in static conditions—while viewing stimuli passively without movement or interaction.
98
How does movement improve object perception?
Movement reveals different viewpoints of an object
99
Why is movement especially helpful for perceiving unusual objects?
Because seeing them from multiple perspectives provides more information
100
How do perception and action interact during a simple task like picking up a coffee cup?
Perception guides the action by identifying the cup’s location
101
What kind of information does Crystal need to successfully grasp her coffee cup?
She needs to perceive the cup’s position
102
Why does picking up a cup feel effortless even though it involves complex processes?
Because perception-action coordination happens automatically and continuously through highly efficient neural mechanisms.
103
What is an example of a task that shows the link between perception and real-time action?
Reaching for a coffee cup while avoiding flowers and grasping the handle—requires perception
104
Why is perception not just about recognizing objects?
Because its primary purpose is to support interaction with the environment—helping us act
105
What are the two major visual processing streams in the brain?
The ventral (what/perception) pathway and the dorsal (where/action) pathway.
106
What is the function of the ventral visual pathway?
It is involved in object recognition and identification; known as the "what" or "perception" pathway.
107
What is the function of the dorsal visual pathway?
It is involved in locating objects and guiding action; known as the "where" or "action/how" pathway.
108
What technique did Ungerleider and Mishkin use to study visual processing in monkeys?
Brain ablation—removing specific brain areas and observing how perception is affected.
109
What happened when monkeys had their temporal lobes removed in the Ungerleider & Mishkin study?
They struggled with object discrimination tasks; showing the temporal lobe is involved in identifying objects (ventral/what).
110
What happened when monkeys had their parietal lobes removed?
They struggled with landmark (location) discrimination; showing the parietal lobe is involved in spatial awareness (dorsal/where).
111
How did the researchers name the two brain pathways based on function?
The "what" pathway leads to the temporal lobe; the "where" pathway leads to the parietal lobe.
112
What was the key finding in the neuropsychology case of patient D.F.?
She could not match the orientation of a slot visually (what pathway damaged)
113
What does the D.F. case reveal about visual processing?
That separate brain mechanisms are responsible for perception vs. visually guided action.
114
What are the alternate names for the what and where pathways?
What = perception pathway (ventral); Where = action or how pathway (dorsal).
115
How do the what and where pathways apply to hearing?
Auditory “what” identifies sounds; auditory “where” locates where the sound is coming from.
116
What does the existence of separate perception and action streams suggest about vision?
That perception is not just about recognition; it supports real-time interaction with the environment through coordinated brain systems.
117
What are mirror neurons?
Neurons that fire both when an individual performs an action and when they observe someone else performing the same action.
118
Where were mirror neurons first discovered?
In the premotor cortex of monkeys; during studies of grasping movements by G.D. Rizzolatti and colleagues in the 1990s.
119
What unexpected result led to the discovery of mirror neurons?
Neurons that fired when a monkey grasped food also fired when the monkey watched a human grasp food.
120
What is the mirror neuron system?
A network of brain areas in humans believed to have mirror neuron properties; identified through fMRI and direct brain recordings.
121
How do mirror neurons potentially help us understand others?
By coding both the observed action and the likely intention behind it; helping us infer *why* someone is doing something.
122
What did Iacoboni’s (2005) experiment show about mirror neuron activity?
Mirror neuron areas showed more activity when participants viewed purposeful actions (like drinking or cleaning) than non-intentional ones.
123
What does Iacoboni’s research suggest about mirror neurons and intention?
That mirror neurons may encode the goal or intention behind an observed action
124
How might mirror neurons use context to infer intention?
They may respond based on the observed action *plus* the most likely sequence of actions that would follow in that context.
125
How does the operation of mirror neurons relate to Helmholtz’s likelihood principle?
Both involve using prior knowledge to infer the most likely outcome—either a perceptual interpretation or an intention.
126
What broader function may mirror neurons serve beyond perception-for-action?
They may support social cognition by helping us understand the intentions and motivations behind others’ behaviors.
127
What is the main difference between sensation and perception?
Sensation is the bottom-up process of detecting environmental stimuli via sensory receptors and sending that information to the brain. Perception is a top-down process involving interpretation of sensory input based on expectations, prior experience, and schemas.
128
What type of processing is sensation primarily associated with?
Bottom-up processing — it begins with raw sensory input and builds up to perception.
129
What type of processing influences perception, and what does it involve?
Top-down processing — it involves expectations, prior knowledge, and cognitive factors that shape how sensory information is interpreted.
130
How do illusions demonstrate the difference between sensation and perception?
Illusions show that while the sensory input (sensation) remains constant, perception can be distorted by context or expectations. For example, the Müller-Lyer illusion tricks the brain into perceiving one line as longer due to depth cues.
131
What is the Müller-Lyer illusion and how does it work?
It's a visual illusion where two lines of equal length appear different due to arrow-like fins at the ends. Top-down processing interprets the line with inward-facing fins as protruding (closer) and the line with outward-facing fins as receding (farther), making it seem longer.
132
Why does the line at the bottom of the Müller-Lyer illusion appear longer?
Because the brain interprets it as being farther away (like the corner of a room), it compensates for the perceived depth, making the line appear longer than it is.
133
What is the motion aftereffect (MAE)?
The motion aftereffect (MAE) is a visual illusion where a stationary object appears to move in the opposite direction after prolonged exposure to motion in one direction.
134
Why does a stationary object appear to move after watching motion in one direction?
Because the visual neurons that detect motion in one direction become less responsive (habituated), so when motion stops, the unadapted neurons dominate, creating the illusion of movement in the opposite direction.
135
How does motion aftereffect relate to neural habituation?
It involves neural habituation—motion-sensitive cells in the brain reduce their firing rate after continuous exposure to motion, altering perception when the motion stops.
136
What is a real-life analogy for understanding the motion aftereffect?
It is like getting used to the hum of a fridge or air conditioner—once it stops, you notice the silence. In MAE, the 'silence' is perceived motion in the opposite direction.
137
In the MAE demonstration, what causes the blue circle to appear to move or pulsate?
The outer black-and-white lines moving inward habituate motion-sensitive neurons, making the stationary blue circle appear to expand or pulsate outward by contrast.
138
What is the cause of the motion aftereffect (MAE)?
MAE is caused by neural habituation: motion-sensitive neurons become less responsive after continuous motion in one direction, leading to a perceptual imbalance when motion stops.
139
Is the motion aftereffect caused by eye fatigue?
No. MAE is not due to eye fatigue but to neural adaptation in motion-sensitive areas of the brain.
140
What is gain control in the context of perception?
Gain control is the process by which the brain suppresses redundant or continuous sensory input to allocate resources to novel or more important information.
141
Why is down-regulation of continuous sensory input considered adaptive?
Because it allows the brain to focus processing resources on new or changing information, making perception more efficient.
142
How does the brain manage abundant, unchanging sensory information?
The brain reduces the processing of repetitive input through habituation (gain control), allowing more cognitive resources to be directed toward unexpected or novel stimuli.
143
What is interocular transfer in the context of the motion aftereffect (MAE)?
Interocular transfer refers to the persistence of the motion aftereffect (MAE) when the adapted motion is viewed with one eye and then the effect is observed with the other eye.
144
Does the motion aftereffect transfer from one eye to the other?
Yes. The motion aftereffect transfers between eyes, indicating that motion adaptation occurs at a binocular or cortical level.
145
Why does the motion aftereffect persist even when switching eyes?
Because the adaptation occurs in brain regions that receive input from both eyes, allowing the effect to transfer between them.
146
Does the color afterimage effect show interocular transfer?
No. The color afterimage effect does not transfer between eyes.
147
Why does switching eyes eliminate the color afterimage effect?
Because color adaptation happens at an earlier, monocular stage of processing (retinal level), so the effect is limited to the eye that was stimulated.
148
How does the visual system efficiently process color?
The visual system uses the same cells to process opposing colors (e.g., red vs. green), allowing fewer cells to represent a full range of colors efficiently.
149
What causes a color afterimage?
A color afterimage occurs when photoreceptors become desensitized to a certain color, and the opposing color becomes more prominent once the original color is removed.
150
What is the relationship between opposing color pairs in afterimages?
Afterimages are based on opponent-process pairs: red-green, blue-yellow. Staring at one color leads to perception of its opposite when the color is removed.
151
What is apparent motion?
Apparent motion is the illusion of movement created when visual elements change gradually or sequentially, even though no actual motion occurs.
152
How does the rotating pie segment illusion demonstrate apparent motion?
Because the shades of the pie segments gradually change in an anticlockwise direction, the viewer perceives the wheel as rotating.
153
What causes the illusion of movement in the spokes of the rotating wheel?
The changing contrast between the spokes and the pie segment backgrounds creates the illusion that the spokes are moving or scintillating.
154
Why do some spokes in the illusion appear lighter or darker?
Spokes appear lighter or darker based on the contrast with the adjacent pie segment shades; lighter backgrounds make spokes appear darker, and vice versa.
155
What perceptual process explains why spokes seem to move or scintillate?
Top-down processing interprets the changing visual information as motion, even when there is none, creating the illusion of movement and scintillation.
156
How does this illusion further demonstrate the distinction between sensation and perception?
The sensory input is a gradual change in shade, but perception interprets it as dynamic motion, illustrating how perception involves cognitive interpretation beyond raw sensory data.
157
What illusion is demonstrated by the yellow and blue boxes appearing to take turns moving forward?
It’s a perceptual illusion where two colored boxes (yellow and blue) appear to take turns stepping forward, even though they move at the same constant speed.
158
What causes the illusion of stepping motion between the yellow and blue boxes?
Because magnocellular cells in the peripheral vision detect luminance (brightness) but not color, and they fail to register the boxes when their luminance matches the background strip.
159
What are magnocellular (M) cells, and what are they sensitive to?
Magnocellular cells are located in the peripheral visual system and are sensitive to luminance (brightness) and motion but not to color.
160
Why does the magnocellular system fail to detect certain moving objects in this illusion?
Because when an object's luminance matches the background strip, magnocellular cells cannot detect the object, leading to alternating visibility of each box.
161
What are parvocellular (P) cells, and what are they sensitive to?
Parvocellular cells are located in the central (foveal) vision and are sensitive to color and fine detail, but less sensitive to motion.
162
How does focusing directly on one of the colored boxes affect the illusion?
Focusing directly on one box engages parvocellular cells, which are color-sensitive, revealing that both boxes move simultaneously at the same speed.
163
Why does the illusion disappear when using the parvocellular system?
Because parvocellular cells process color accurately, allowing consistent perception of both boxes regardless of background luminance.
164
How does luminance contrast between objects and background strips influence this illusion?
Higher luminance contrast makes the boxes easier to detect continuously, reducing or eliminating the stepping illusion.
165
What does it mean to say that perception is an interactive process?
Perception involves both bottom-up sensory input and top-down influences like expectations, experience, and context.
166
How does the 12-B-14 illusion demonstrate top-down processing?
When presented in isolation, the symbol appears as 'B', but when shown with '12' and '14', it is perceived as '13' due to contextual expectations.
167
What is speech segmentation?
Speech segmentation is the ability to determine where one word ends and another begins in spoken language.
168
Why is speech segmentation easier in your native language?
Because prior exposure and language fluency provide expectations and structure that guide interpretation of continuous speech.
169
How does top-down processing influence auditory perception?
It can cause people to hear things differently based on what they expect to hear, such as mishearing lyrics or interpreting ambiguous sounds.
170
What is an example of top-down processing in music perception?
A comedian told listeners they would hear 'your burgers are the best' in a song, which shaped what they perceived, despite different actual lyrics.
171
Why did listeners in the Led Zeppelin example hear hidden messages when a song was played backward?
Because the expectation of hearing satanic messages primed their brains to interpret ambiguous sounds as meaningful words.
172
What role does expectation play in shaping perceptual experience?
Expectation shapes perception by influencing what we interpret from ambiguous or incomplete sensory input, especially under uncertainty.
173
What psychological effect explains why people hear satanic messages when told to expect them?
Top-down processing: expectations shape perception, making people interpret ambiguous sounds in line with what they're told to hear.
174
What does the Led Zeppelin backwards lyrics illusion demonstrate?
It demonstrates how top-down processing can make people hear coherent messages in gibberish when they’re primed with expectations.
175
Why do listeners 'hear' a specific message when told what to expect beforehand?
Priming sets up an expectation, and the brain matches incoming ambiguous stimuli to the expected pattern.
176
How is the jumbled-letter reading paragraph an example of top-down processing?
The brain uses experience and context to interpret entire words, rather than analyzing each letter, allowing comprehension of jumbled words.
177
Why is the first paragraph of jumbled text easier to read than the second one?
Because it includes short, familiar words and preserves first and last letters, which helps readers rely on top-down linguistic expectations.
178
What linguistic factors make the second jumbled paragraph harder to interpret?
Longer words, fewer function words, and more possible word combinations make decoding more difficult without contextual cues.
179
What role does priming play in top-down auditory illusions?
Priming activates expectations in memory, biasing perception toward the expected outcome—even when the sensory data doesn’t support it.
180
How does prior language experience help in understanding jumbled words?
Familiarity with word patterns, syntax, and phonology helps the brain predict and reconstruct intended meanings from partial or scrambled input.
181
Top-down processing definition
Interpretation of sensory information guided by prior knowledge, expectations, and context, rather than just the sensory input itself.
182
Example of top-down processing
Mistaking a small black object on the floor for a bug because of fear of bugs, when it is actually lint or paper.
183
Why the “bug or lint” example shows top-down processing
Expectation of seeing bugs influences perception, leading to an initial but incorrect interpretation.
184
Gestalt psychology main idea
The whole perceptual experience is greater than the sum of its individual sensory parts.
185
Example of Gestalt principle in perception
Recognising an incomplete panda image as a panda because the brain fills in missing parts.
186
Gestalt Law of Prägnanz (Law of Simplicity)
Tendency to perceive the simplest, most stable shape possible from ambiguous or complex stimuli.
187
Example of Law of Prägnanz
Seeing one horizontal line and one continuous wavy line instead of disjointed segments.
188
Gestalt Law of Good Continuation
Tendency to perceive elements in a way that follows the smoothest path or continuous pattern.
189
Gestalt principle demonstrated by the incomplete panda image
Brain fills in missing visual information to perceive a complete figure, showing that perception is greater than sensory input.
190
Gestalt Law of Similarity
Tendency to group elements together based on shared visual characteristics, such as colour, shape, or size.
191
Example of the Law of Similarity
Grouping green triangles together and purple triangles together in an image because they share colour.
192
Difference between sensation and perception
Sensation is raw information received from the environment; perception is the brain's interpretation of that information.
193
Interaction between top-down and bottom-up processing
Perception results from both sensory input (bottom-up) and expectations or prior knowledge (top-down).
194
Dorsal pathway function
Processes spatial information, helping determine where an object is; supports vision for action.
195
Ventral pathway function
Processes object identity, helping determine what an object is; supports vision for perception.
196
Case study: patient DF
Had ventral pathway damage; could not match a panel’s orientation visually but could accurately slot it when reaching, due to intact dorsal pathway.
197
What DF's case shows about perception and action
Ventral pathway supports perception (what), dorsal pathway supports action (where).
198
Vulnerability of ventral vs. dorsal pathway to interference
Ventral pathway is more vulnerable to interference; dorsal pathway is less vulnerable, especially for motion-related tasks.
199
Evolutionary reason dorsal pathway is less vulnerable to interference
Motion detection is critical for survival, so the dorsal pathway evolved to be robust against interference.
200
Definition of Garner interference
A situation where irrelevant changes in features closely related to the task interfere with perception and slow reaction time.
201
Control condition in Garner interference experiment
Line tilt is judged with all other visual features constant; easiest condition with fastest reaction time.
202
Separated condition in Garner interference experiment
Background colour changes but the line colour remains constant; moderate difficulty.
203
Incorporated condition in Garner interference experiment
Line colour changes while judging tilt; most difficult due to interference with the task-relevant feature.
204
Effect of Garner interference on perception task
Reaction times slow when irrelevant but closely related visual features change, especially in the incorporated condition.
205
Why Garner interference mainly affects ventral pathway tasks
Because ventral pathway is responsible for object identification, it is more affected by irrelevant feature changes.
206
Impact of Garner interference on action tasks
When reaching and adjusting grip for a tilted object, performance remains stable across conditions due to dorsal pathway resilience.
PSY310 Learning & Cognition
flashcards
Decks in class (14)
# Cards
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Chapter 1 Introduction191
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Introduction To Cognitive Psychology98
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Attention150
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JA - Driver (2001) Attention166
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Visual Perception206
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Short Term Memory266
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LTM: Structure281
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LTM: Encoding, Retrieval. & Consolidation162
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Language233
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Rendall (2021) Aping Language152
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Innate Behaviour And Non-associative Learning322
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Operant Conditioning230
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Classical Conditioning506
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Observational Learning0
