2.06 Measuring detection thresholds

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47 Terms

1

4 stages of perception

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2

What do we need to detect something

Need light to be reflected off an object and into our eyes

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3

List natural sources of light

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4

What does light sources emission spectrum mean

Different light sources emit different wavelengths of lignt

This influences what we see

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5

What is the visible spectrum

The range of wavelengths that the human eye is sensitive to/can see

Between 400-720nm

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6

How is radiation from the sun controlled

Most of it is eliminated by atmospheric scatter (low wavelengths) and absorption

Ozone layer (O3) absorbs UV

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7

Why do we need to limit sum radiation/UV

UV causes skin cancer

Global warming

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8
<p>What do the yellow and red curve represent </p>

What do the yellow and red curve represent

Yellow - sunlight at the outermost/top of the atmosphere

Red - radiation at sea level (eg bfd)

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9
<p>What is this showing</p>

What is this showing

Artificial/man made light sources have very different spectra compared to natural sources (daylight)

Daylight is quite flat it has lots of different wavelengths so shows lots of different colours

Other artificial sources usually peak betwen a small range of wavelengths and that determines their colour

Eg sodium lamps show mainly yellow light

<p>Artificial/man made light sources have very different spectra compared to natural sources (daylight)</p><p>Daylight is quite flat it has lots of different wavelengths so shows lots of different colours</p><p>Other artificial sources usually peak betwen a small range of wavelengths and that determines their colour</p><p>Eg sodium lamps show mainly yellow light</p>
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10

What does the colour of an object depend on

Which wavelengths of light as absorbed and reflected by an object

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11

How does the eye protect the retina from UV rays

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12

What are the 4 things retinal image quality is dependent on

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13

What 3 things reduce retinal image quality

Spherical abberations

Chromatic abberations

Diffraction patterns

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14

What are spherical abberations

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15

How does the eye counteract spherical abberations

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16

What is a chromatic abberation

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17

How does the eye counteract chromatic abberations

Yellow pigment at the fovea absorbs maximally at 460nm (absorbs short wavelengths)

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18

What is the wave theory of light

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19

What is a diffraction pattern

The bright central disc contains about 84% of the light and is called the airy disc

<p>The bright central disc contains about 84% of the light and is called the airy disc</p>
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20

What is the Rayleigh criterion

Can be used to estimate the resolving power of an optical system

<p>Can be used to estimate the resolving power of an optical system</p>
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21

What is psychophysics

The direct quantification of our sensory performance

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22

What is the detection threshold

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23

What is the absolute theshold

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24

Why is the absolute threshold only theortical

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25

What shape are most psychometric functions

S shaped,

<p>S shaped,</p>
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26

What are the 6 methods to measure detection threshold

<p></p>
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27

Method of limits

  • Procedure

  • Advantages

  • Disadvantages

Stimui are presented in ascending or decending order eg increasing light intensity

Patient reports if they see the stimulus or not

Repeat a few times and find average

+ quick

- patients anticipate the threshold if each trial starts at ths same level

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28

The staircase method

  • Procedure

  • Advantages

  • Disadvantages

The threshold is defined as having occured after 3 or 4 reversals

+ it is quick and reliable

- patienr can anticipate the threshold

<p>The threshold is defined as having occured after 3 or 4 reversals</p><p>+ it is quick and reliable</p><p>- patienr can anticipate the threshold</p>
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29

The method of constant stimuli

  • Procedure

  • Advantages

  • Disadvantages

+ patients cannot anticipate the visibility of each stimulus

- time consuming

<p>+ patients cannot anticipate the visibility of each stimulus</p><p>- time consuming</p>
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30

The method of adjustment

  • Procedure

  • Advantages

  • Disadvantages

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31

Forced choice procedure

  • Procedure

  • Advantages

  • Disadvantages

The patient is forced to choose from a number of alternative choices, one of which contins the stimulus (can have 2AFC, 4AFC, 6AFC) (AFC - alternative forced choice)

The threshold is calculated by 100 divided by however many AFCs there are, then the threshold is halfway between that number and 100 eg 4AFCs - 100/4 =-25 25% , halfway from 25 to 100 is 62.5% so thats the threshold. The ogive starts at 25% because theres already a 25% chance of a correct response with 4AFC

+ eliminates subjects response criterion

- subject may not be able to see anything but still have to choose

<p>The patient is forced to choose from a number of alternative choices, one of which contins the stimulus (can have 2AFC, 4AFC, 6AFC) (AFC - alternative forced choice)</p><p>The threshold is calculated by 100 divided by however many AFCs there are, then the threshold is halfway between that number and 100 eg 4AFCs - 100/4 =-25 25% , halfway from 25 to 100 is 62.5% so thats the threshold. The ogive starts at 25% because theres already a 25% chance of a correct response with 4AFC</p><p>+ eliminates subjects response criterion</p><p>- subject may not be able to see anything but still have to choose</p>
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32

Advanced adaptive methods

- procedure

Advanced Adaptive Methods involve presenting signals based on the subjects previous responses (like the staircase method).

Three correct responses, intensity decreased by one step.

An incorrect response, one step increase in intensity.

In the initial methods the size of the steps remain the same throughout the session.

Session ends when a narrow range of stimuli is reached

Threshold is taken as the average of the intensity levels within the period of stable tracking

<p><span>Advanced Adaptive Methods involve presenting signals based on the subjects previous responses (like the staircase method).</span></p><p><span>Three correct responses, intensity decreased by one step.</span></p><p><span>An incorrect response, one step increase in intensity.</span></p><p><span>In the initial methods the size of the steps remain the same throughout the session.</span></p><p><span>Session ends when a narrow range of stimuli is reached </span></p><p><span>Threshold is taken as the average of the intensity levels within the period of stable tracking</span></p>
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33

Automated perimetry

  • procedure

•Subjects are positioned inside a white dome and a fixation light is presented then small target lights are displayed inside the dome.

modern systems operate using the same psychophysical principles and produce a print-out of the visual field test results. - dark areas om the mop are where theres a loss in VF

<p>•Subjects are positioned inside a white dome and a fixation light is presented then small target lights are displayed inside the dome.</p><p><span>modern systems operate using the same psychophysical principles and produce a print-out of the visual field test results. - dark areas om the mop are where theres a loss in VF</span></p>
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34

What is signal detection theory

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35
<p>Explain the graph</p>

Explain the graph

if the noise was simply at one level (as indicated by the red bar) then if you chose a decision criterion or detection threshold that is above this level of activity you would never mistake noise for a signal and would always respond that there is no stimulus present when there is no stimulus present.

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36
<p>Explain the graph</p>

Explain the graph

If noise was always the same and a signal was added, we could set a threshold below the noise level to detect the signal every time. This means we would never miss detecting a signal when it is actually present.

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37
<p>Explain the graph</p>

Explain the graph

If this were the case then you would generate a hard threshold also known as an absolute threshold as shown above but as we know this is not how the visual system works.

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38
<p>Explain the graph</p>

Explain the graph

This figure depicts what is actually happening in the visual system when no stimulus is present just the noise. The noise is not a single value but rather has a distribution of possible values– if the noise is great enough you may see something that is not these – we often call this a hallucination if this was for example a covid test then this would be a false positive! While an error and can be serious (for example an incorrect cancer diagnosis) you would often run further tests (or a second covid test if you felt fine and didn’t believe it) before enaging with invasive treatments.

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39
<p>Explain the graph</p>

Explain the graph

In this case there is a signal present as well as the same internal noise. In this case, most of the time we see the stimulus, but sometimes the noise is so great that it hides the stimulus and we would miss it  - this is usually referred to as a MISS as you should have seen the light or can also be called a false negative as you reply incorrectly that you don’t see the light – again with a covid test this would be if for some reason the test did not detect your covid antibodies even though you did have covid. In terms of medical tests this is more serious than a false positive as thepatient would be unaware they had covid or cancer or AMD for example and would not seek appropriate treatment.

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40
<p>Explain the graph</p>

Explain the graph

If d prime is large then there will be very little overlap between the distributions so very few misses and very few false alarms. If however detectability is small then you will have poor discrimination between a positive and a negative result with lots of overlap and lots of misses and false alarms so it would not be a very reliable test.

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41
<p>Explain the graphs</p>

Explain the graphs

There are 4 possible outcomes 2 when the stimulus/signal is there – you either detect it or you don’t (hit or miss) and 2 when the stimulus/signal is NOT there – a correct rejection or a false alarm. We want to maximise the hits and correct rejections while minimizing the misses and false alarms.

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42
<p>Explain the graph</p>

Explain the graph

they are more likely to respond that they see the light if they think they might have indeed seen the light – their decision criterion/threshold moves to the left

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43
<p>Explain the graph</p>

Explain the graph

they are only likely to respond that they see the light if they are sure that have indeed seen the light – their decision criterion/threshold moves to the right versus the neutral person

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44

How to calculate sensitivity of a test

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45

A very sensitive test will have..

A sensitive test will have very few misses BUT it could have a lot of false positives.

You can think of this as a sensitive test will indicate a hit if there is even a slight hint of something being present. (Lots of Hits, very few misses but a lot of false hits!). So it has a very liberal criteria.

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46

How to calculate specificity of a test

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47

A very specific test will have…

A very specific test will have very few false alarms however it may miss a number of cases

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