Objects and scenes part 2 Flashcards

1
Q

What is another example of bottom up processing?

A

Gist

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2
Q

What does RBC theory say about perceiving an object?

A

We build up small details to an overall object

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3
Q

What do experiments on scene perception suggest that indicate we see the gist of a scene?

A

We can perceive large scale properties first (<250 ms), and then more slowly fill in details (~500 ms) –> see gist first

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4
Q

How do we perceive gist?

A

Global image features that are holistically and rapidly perceived –> not built up from small bits

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5
Q

What are the 5 global image features we use to perceive gist?

A

Degree or naturalness
Degree of openness
Degree of roughness
Degree of expansion
Colour

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6
Q

What is degree of naturalness

A

Undulating contours (irregular) vs straight lines

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7
Q

What is degree of openness

A

Visible horizon line vs closed-in environment

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8
Q

What is degree of roughness?

A

Large even areas vs many small elements

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9
Q

What is degree of expansion?

A

convergence of lines of parallel lines

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10
Q

How do we perceive gist?

A

We simultaneously process visual scene at multiple spatial scales or frequencies

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11
Q

What do we process at low and high frequencies?

A

Low frequency = gist –> general trends
High frequencies = detail

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12
Q

What happens when you are shown a hybrid scene in low frequency?

A

you don’t notice the kitchen in the middle, just the gist

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13
Q

How does the hybrid image experiment work?

A

Low spatial frequencies –> Marilyn monroe
High spatial frequencies –> Einstein
Combine them

Normally information at low and high spatial frequencies is complementary but in a hybrid image it conflicts

Changing image size or viewing distance shifts the perceived balance

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14
Q

What is top down processing for perception?

A

Perception is not based purely on the stimulus
It also depends on experience, expectations, goals

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15
Q

Give an example of top down processing?

A

The numbers 12, 13, 14 and letters A, B, and C

The center symbol is the same but is influenced by context and our prior experience with the context

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16
Q

What do the upside down word examples show?

A

We reinterpret the same shapes based on context and prior experience

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17
Q

What does the dashed letters in words example show?

A

Version you saw is from your mind –> top-down
There are multiple possibilities

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18
Q

How does experience influence figure and ground perception? Give an example?

A

Meaningfulness/familiarity influencing figure/ ground separation –> based on experience

in two images:
1. Black area is more likely to be seen as figure because it looks like a lady
2. Black and white areas equally likely to be seen as figure in second image because it is flipped

Meaningful part is the figure. Not just based on concave/ convex

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19
Q

How does experience influence perceptual organization? Give an example

A

We have a tendency to perceive faces based on experience

Configuration of rocks looks like a face

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20
Q

How does experience effect object recognition? Give an example

A

all 4 images have the same blob in the picture but we interpret it differently based on experience

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21
Q

Provide the example that shows experience and scene perception.

A

First someone is shown the context scene (kitchen) then asked to identify a target object when it is flashed quickly
People show higher accuracy for context appropriate object

Person is better at identifying loaf of bread than a mailbox

Context we have been presented with first alters what we perceive first

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22
Q

What is a theory that explains experience and perception?

A

Helmholtz’s Theory of Unconscious Inference

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23
Q

What is the principle underlying Helmholtz’s Theory of Unconscious Inference?

A

Likelihood principle

24
Q

What is Helmholtz’s Theory of Unconscious Inference?

A

Likelihood principle: we perceive objects most likely to have caused the pattern of stimuli we receive
Unconscious inference: The application of the likelihood principle is unconscious but based on past experience

25
What does Bayesian inference tell us?
How our brains incorporate prior experience with current evidence to determine perception/ how we decide which hypothesis is most likely
26
What is the Bayesian equation?
P(A/B) = P(B/A) P(A)
27
What is P(A/B)?
Posterior belief --> probability of a snake given I saw something slithering
28
What is P(B/A)?
Likelihood --> probability of slitering give a snake
29
What is P(A)?
Prior belief (experience) --> probability of a snake
30
What stream is involved in the neural basis of object recognition? What direction does it go?
Visual what stream Rostrally to temporal lobe
31
What is the fusiform face area (FFA) and where is it located?
Preferentially responds to images of faces On the fusiform gyrus at the bottom of the temporal lobe
32
What is the parahippocampal place area (PPA)? Where is it located?
In temporal lobe Preferentially responds to images of places, houses, and scenes
33
What is the extrastriate body area (EBA)? Where is it?
Preferentially responds to pictures of bodies and body parts On temporal ventral pathway but further back
34
Is MT near the EBA?
Yes
35
What do people suspect the FFA could be involved in?
Visual expertise
36
What did the experiment on the FFA do?
Trying to figure out if FFA is involved in visual expertise Show people faces and greebles (computer generated) then trained them on greebles
37
What task did they use to train people with greebles?
sequential matching task had to say same or different after masking the last image
38
What did the greebles experiment show before and after training?
Before training the FFA only activated to faces After training the there was similar activation to faces and greebles
39
What is the evidence that the FFA is a face area?
Face inversion effect Lesion to FFA area leads to prosopagnosia Face-selective neurons in FFA Faces are important for evolution
40
What is the face inversion effect?
We are particularly sensitive to upright faces
41
What is prosopagnosia?
deficit in facial percepetion
42
What is the evidence that the FFA is a visual expertise area?
Greeble activations Bird-experts show FFA activation for birds Car-experts show FFA activation for cars Show experience dependent plasticity for non-face stimuli
43
Is the FFA a face area or a visual expertise area?
still unknown
44
What does the the PPA respond to?
Outdoor scenes Furnished rooms Empty rooms Landmarks
45
What does the PPA not respond to?
Faces Objects Groups of objects
46
What did the study on the PPA area test?
PPA activation after imagining space defining objects and space ambiguous objects
47
What are space defining objects? examples?
A large oak bed A dark corduroy couch An antique rocking horse
48
What are space ambiguous objects?
Large cardboard box A small white fan heater A wicker laundry basket Large but empty
49
What did the experiment in the PPA discover?
Imagining space defining objects activated PPA more than imagining space ambiguous objects Things that take up space activated even through they were objects
50
What could the PPA represent?
Places and scenes Contextual relationships --> where house is in neighbourhood 3D space Navigation --> big things have more effects
51
How did they reconstruct visual experiences from brain activity evoked by natural movies? Explain the teach the decoder step?
Record brain activity while participant watches several hours of movie trailers. 2. Build regression models that translate between the shapes, edges and motion in the movies and measured brain activity at each of several thousand voxels. 3. Build a random library of ~18,000,000 seconds of video downloaded at random from YouTube, and put each of these clips through the regression models to generate predictions of brain activity.
52
How did they reconstruct visual experiences from brain activity evoked by natural movies? Explain the use the decoder step
Record brain activity to a new set of movie trailers that will be used to test the quality of the regression models and reconstructions --> compare brain activity to predicted brain activity for youtube videos 2. Select the 100 YouTube clips whose predicted activity is most similar to the observed brain activity. Average these clips together. This is the reconstruction.
53
What happens once you make them watch a movie?
Make them watch an unknown movie and record brain activity, then compare to to the brain activity recorded for each youtube video, then estimate what the person is seeing
54
What was the results on the study of Reconstructing visual experiences from brain activity evoked by natural movies?
They were significantly better than change at predicting what people were watching at what people are looking at from patterns of neural activity
55
describe the study on Neural decoding of visual imagery during sleep? Describe the teach the decoder step
Train linear support vector machine (SVM) on fMRI data measured while each person viewed Web images for each base synset. They were shown images associated with key words
56
describe the study on Neural decoding of visual imagery during sleep? Describe the use the decoder step
Record fMRI during sleep ● Predict images and synsets from fMRI using SVM ● Compare to synsets in verbal descriptions after awakening
57
What were the results of the study on Neural decoding of visual imagery during sleep?
They were better at predicting for higher level areas of the brain. Best prediction occurred for dreams right before the person woke up