Lecture 7

Question 1

How is the organisation of thalamic projection to auditory cortex? What experiment was used to work this out?

Answer 1

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Question 2

How is the tonotopy preserved of auditory information in different parts of the brain?

Answer 2

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Question 3

What is preserved in the auditory cortex?

Answer 3

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Question 4

How is auditory cortex plastic? What experiment was done to show this?

Answer 4

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Question 5

How does plasticity change as you go higher up the system?

Answer 5

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Question 6

What does the pup and mother mouse experiment show?

Answer 6

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Question 7

In the higher order what differences are seen with the modalities?

Answer 7

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Question 8

What is selectivity? How do cells work to make selectivity? What cells are involved?

Answer 8

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Question 9

What is invariance? How do cells work to make invariance? What cells are involved?

Answer 9

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Question 10

How does the machine model that is an artificial neural network work? What are the components? How well does this model work?

Answer 10

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Question 11

What are the operations involved in the artificial neural network? How do they work? What are the functions?

Answer 11

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Question 12

What is the tuning function? What is it important for?

Answer 12

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Question 13

What is the MAX function? What is it important for?

Answer 13

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Question 14

What is a canonical circuit? What does it exhibit?

Answer 14

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Question 15

What kind of excitation and inhibition does the canonical circuit have?

Answer 15

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Question 16

Does one neuron have multiple operations or a fixed operation?

Answer 16

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Question 17

What is a summation index? How is it calculated? What experiment was done?

Answer 17

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Question 18

How is the distribution of the summation index in the visual system?

Answer 18

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Question 19

What was the experiment done to explain the summation index in the auditory system? What were the results? What did it show?

Answer 19

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Question 20

How is the distribution of the summation index in the auditory system?

Answer 20

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Question 21

How do the Sml distributions compare between the visual and auditory system?

Answer 21

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Question 22

What is assumed with the function of the neuron when it is put into a neural network?

Answer 22

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Question 23

How was this tested? Where? How?

Answer 23

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Question 24

What is adaptation?

Answer 24

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Question 25

What experiment was done to test adaptation?

Answer 25

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Question 26

What were the results? What does it show?

Answer 26

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Question 27

What are visual models? What kind of neurons are there?

Answer 27

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Question 28

What is flexible neuron-to-computation mapping model?

Answer 28

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Question 29

What are the two sub problems to working out how the brain combines features to form sound representations?

Answer 29

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Question 30

What is a central auditory neuron’s receptive field structure?

Answer 30

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Question 31

What are the problems with computational models to characterise receptive field?

Answer 31

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Question 32

What is a method that can work well? What are the components?

Answer 32

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Question 33

What is the experiments to show how this minimal model works? What did it show?

Answer 33

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Question 34

What are auditory neurons’ receptive fields a mosaic of?

Answer 34

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Question 35

What is an example of features? How many features? What kind of features in comparison to each other?

Answer 35

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