The Neural Code Flashcards

(37 cards)

1
Q

What is the neural code?

A

How neurones get signal where information is encoded for communication

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2
Q

What are local brain networks?

A

Small generic processing units

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3
Q

What are global brain networks?

A

Relating in processes in unit dedicated to specific brain regions

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4
Q

How is encoding in the brain important?

A

For extraction of categories and finding the identity of objects and our environment

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5
Q

How do we identify objects?

A

With filtering to identify properties

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6
Q

How do we classify an object?

A

Measuring the amount with intensity and frequency

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7
Q

How do we adjust the precision of object classification?

A

Fine tunnign

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8
Q

What is a managing capacity?

A

Compression of information into small compartments for high effectiveness

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9
Q

How can a neural response be measured?

A

As a graded change in electrical potential and a change in membrane voltage which can determine excitation or inhibition

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10
Q

What is a neural response?

A

Encoding in the number of action potentials

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11
Q

What is the rate code?

A

The quantity of seconds information is encoded in the firing rate of action potentials

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12
Q

How can neurones compute?

A

Through summation, direct representation of each sampling point or lateral inhibition

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13
Q

What is direct representation of each sampling point?

A

One to one, where the size is not coded and there is low sensitivity but a high resolution

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14
Q

What is summation?

A

The neural computation that results in adding together the responses of neurons (many to one)

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15
Q

How do neurones interact in summation?

A

Through convergence

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16
Q

What is convergence?

A

A graded response where the information from other sensors are combined

17
Q

What is lateral inhibition?

A

A neural computation in which responses from neighbouring regions are subtracted

18
Q

What does the graded response in lateral inhibition cause?

A

An optimum size for maximum activation

19
Q

What is a receptive field?

A

The location in space where the presence of a stimulus can produce a change in the response of a neurone

20
Q

What is a visual receptive field?

A

The location in space where the presence of a visual stimulus can produce a change in the response of a neurone

21
Q

What is a two dimensional receptive field?

A

When there is neural computation in two dimensions, in a receptive field light is collected from a restricted region of the visual field

22
Q

What is the response in 2D receptive fields?

A

The balancing of excitation from the centre and inhibition from the surrond receptive field

23
Q

What is spatial integration?

A

The adding of excitation and inhibition

24
Q

Why is there opponency in spatial integration?

A

There are photons from neighbouring regions which are balanced against each other

25
What does contrast mean?
A relative difference in stimulus intensity between a bright and dark region of a visual stimulus
26
What happens in regions of equal luminance?
Excitation and inhibition will cancel each other out
27
What occurs at a luminance boundary?
Excitation and inhibition is not balanced so there is an increased difference of the perceived brightness where opponency will enhance the perceived contrast
28
What is filtering?
The process in which signals are transmitted from regions around boundaries, but not from uniform areasW
29
What do the filters do in neural networks?
Transform and compress information
30
What are receptive fields functions?
Contrast enhancement, redundancy reduction and spatial filtering
31
Small excitations and small inhibition?
Small response
32
Large excitation and small inhibition?
Large response
33
Large excitation and large inhibition?
Small response
34
What does the size of the receptive field determine?
Spatial detail
35
What is spatial frequency?
The number of cycles of a periodic pattern per degree of visual angle
36
What are spatial frequency channels?
Parallel sets of receptive fields with different sizes
37
How is feature specificity generated?
Parallel and hierarchial computations