Lecture 10 & 11

Question 1

What are steerable filters? What are they most useful for?

Answer 1

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Question 2

What is Cortexica?

Answer 2

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Question 3

What is the basis from “Where’s Wally?” What areas of the brain are involved?

Answer 3

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Question 4

How does the John Lewis app work? What does it use?

Answer 4

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Question 5

What are the different components of the macroscopic view of the visual system?

Answer 5

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Question 6

What is RGC? What is LGN?

Answer 6

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Question 7

What is the function of the LGN?

Answer 7

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Question 8

What is the function of V1? What makes it so special?

Answer 8

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Question 9

What is the retinal structure like microscopically? What is so special? What does this mean for the function?

Answer 9

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Question 10

What are the different layers? What are their properties generally?

Answer 10

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Question 11

What is the structure of the cortex?

Answer 11

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Question 12

How to describe neuron behaviour?

Answer 12

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Question 13

What is STA?

Answer 13

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Question 14

What is reverse correlation?

Answer 14

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Question 15

What is a receptive field?

Answer 15

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Question 16

What is the response of a single cell to the orientation to the bar? What was this experiment?

Answer 16

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Question 17

What is the map of multiple cells? How is it organised? What is an important property?

Answer 17

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Question 18

What are the differences in the different layers of the visual cortex (V1)?

Answer 18

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Question 19

What is the different in circular variance in V1?

Answer 19

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Question 20

What are the different types of cells? How are they classified? How are they sorted in the layers?

Answer 20

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Question 21

What are the repeating pattern for layers of neurons?

Answer 21

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Question 22

What are the repeating pattern for single neurons?

Answer 22

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Question 23

What kind of patterns are needed to build an algorithm that represents the biological visual system?

Answer 23

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Question 24

How do the cells of V2 and V4 respond to different structures?

Answer 24

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Question 25

What were the different machine learning over the years?

Answer 25

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Question 26

What were the properties of the Granlund?

Answer 26

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Question 27

What were the properties of the Neocognitron?

Answer 27

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Question 28

What were the properties of the LeNet?

Answer 28

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Question 29

What were the properties of the AlexNet?

Answer 29

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Question 30

What is convolution? What does it do?

Answer 30

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Question 31

What is the linear component?

Answer 31

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Question 32

What is the non-linear component?

Answer 32

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Question 33

What is the activation function?

Answer 33

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Question 34

What is the bias?

Answer 34

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Question 35

What did AlexNet do? What can it do?

Answer 35

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Question 36

What was the planned architecture?

Answer 36

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Question 37

What changed in it to make it a more realistic architecture?

Answer 37

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Question 38

What is the multilayer convolution system? How does it work? What are the stages?

Answer 38

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Question 39

How is training done in a multilayer convolution system?

Answer 39

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Question 40

How does AlexNet work? What ways is it similar?

Answer 40

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Question 41

What are the receptive fields in the artificial networks at different levels? How do they compare to biological networks?

Answer 41

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Question 42

What is the computational heavy part? What is a consequence of this?

Answer 42

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Question 43

What was the solution to this which was used in Cortexica?

Answer 43

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Question 44

How to synthesise the effective response to different types of spatial phase without using significant amounts of computation? What is the limitation?

Answer 44

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Question 45

How is the fingerprint like structure used in the John Lewis app?

Answer 45

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Question 46

How can you synthesise the effective response to all different angles?

Answer 46

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Question 47

What is the general summary of Steerable filters?

Answer 47

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