Sensory systems and sensory input Flashcards

1
Q

What 4 things does a visual neuron encode?

A

1) Contrast
2) Colour
3) Frequency
4) Orientation

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2
Q

What is contrast?

A

An increase or decrease in light intensity from a certain level

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3
Q

What is visual system interested in, rather that light intensity?

A

CHANGES in light intensity (contrast) in time/space

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4
Q

What frequency does the visual system encode?

A

Spatial/temporal frequency:

  • How quickly neighbouring pixels change
  • How quickly the intensity changes in time
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5
Q

Why is orientation important in an environment?

A

It encodes the EDGES of an object

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6
Q

What information does the visual system use from the environment in order to arrange itself?

A
  • Contrasts are not random
  • Colours are not random
  • Orientations are not random
  • Neighbouring pixels are similar in brightness and colour
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7
Q

Why is colour not random in the environment?

A
  • Blue dominates the UPPER part of the visual field (sky)

- Green dominates the LOWER part of the visual field (grass)

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8
Q

Why do neurons adjust their sensitivities to contrasts?

A

To be able to process very bright and very dim pixels at the same time

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9
Q

What 2 orientations dominate the visual scene?

Why is this the case?

A

Vertical and horizontal

Due to gravity - stable orientations are either stood up (vertical) or lay down (horizontal)

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10
Q

Describe the distribution of pixel brightness in the environment?

A

Very wide

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11
Q

Describe the distributions of the key properties of the natural scenes

A

They are NOT random

They have certain statistics

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12
Q

How do the retinal neurons respond to the environment? (graphically, where X axis is property of the environment and Y axis is response amplitude of the neuron)

What does this show

A

Sigmoidal response:

  • Most information is encoded in the middle (where small changes in the property of the environenment has large changes in the response amplitude)
  • Curve saturated - very large changes in property has very small changes in response amplitude
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13
Q

What problem does the broad distribution of a property cause?

A

Problem for the encoding of the sensory neuron:

  • The very edges of the distribution (very high contrast, very low contrast), which are more rare are still VERY important
  • Most edges have very high contrast - visual system is tuned to process edges
  • However, these lie of the flattened portion of the tuning curve (large changes in property, small/no changes in intensity)
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14
Q

How are the problems of the distribution/tuning curve matching overcome?

A

1) Tuning

2) Adaptation

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15
Q

Describe the tuning strategy

A

Different neurons tuned to different parts of the distribution:
- Some neurons - high sensitivity, respond to low stimulus intensity

  • Others - intermediate
  • Others - Less sensitive, respond to high contrast/intensity
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16
Q

Describe the adaptation strategy

A

Neurons have plastic curves, that can become more/less sensitive

17
Q

How does the retina use the information from the environment (colour is not random)?

A

Green cones - located at the TOP of the eye

Blue cones - located at the BOTTOM of the eye

18
Q

Where the ganglion cells that respond to approaching objects (increasing in size) present?

Why are they needed?

A

In the bottom of the retina

Sky is static - need to know if anything changes (eg. approaching bird)

Birds usually in the sky

19
Q

Does the retina process negative or positive contrasts better?

Why?

A

Negative better

There are more negative contrasts in the environment

20
Q

How does the retina better process negative contrasts?

A

More OFF cells than ON cells

Better to calculate decreases in light intensity

21
Q

What calculation is used to calculate the amount of information that can be transmitted by a neuron?

A

C = B log2 (1 + S/N)

22
Q

What is S/N?

What happens when this is increased?

A

Signal to noise ratio

When increase - more info can be transmitted

23
Q

What limits the amount of information that can be transmitted by a neuron?

How is this calculated?

A

N - noise

Noise = individual response - signal

24
Q

What is the main source of noise in a neuron?

A
  • Spontaneous opening of channels (Na, K)
  • Affects spike rate
  • Spontaneous opening of Ca2+ channels that is NOT triggered by the release of membrane potential
25
Q

What happens to the amount of information processed per spike when the spike rate of a neuron increases?

A

Increase spike rate - smaller amount of information that can be processed per spike

26
Q

Why is it beneficial to keep the spike rate of a neuron low?

A

So that more information can be processed per spike

Each individual spike costs the neuron lots of ATP molecules

27
Q

How is information in a neuron carried?

A

In ‘bits’

28
Q

What happens to the cost per bit if more information is transmitted by a neuron?

Why is this a problem?

A

More cost per bit

Small number of spikes per second

29
Q

What did Gollisch state?

A

Information is encoded by LATENCY of spikes NOT the frequency