L3 Psychophysics Flashcards

1
Q

What is the Psycho-physical Function?

A

A relationship between physiological (perceived) intensity and physical (actual) intensity of a stimulus.
As physical increases, the amount of change in physical to detect a change in perceptual increases (JND)

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2
Q

What is a JND?

A

The change needed in a physical stimulus to make a noticeable change in percept.

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3
Q

What is the Perceptual Threshold?

A

The smallest amount of physical intensity we are able to detect.

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4
Q

Define Sensitivity and Bias.

A

Sensitivity refers to ones ability to detect a signal.

Bias refers to ones tendency to respond in a certain way

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5
Q

Outline the four components of Signal Detection theory.

A

SDT: a detector needs to decide whether a signal has been detected

                                           Judgement
                  There                                                 Not there signal  

There HIT MISS

Not there F/A CORRECT
REJECTION

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6
Q

Talk about the underlying mechanism in SDT

A

behind SDT are two internal responses, one sends a signal saying ‘yes, there is a signal, the other says ‘no, there is no signal. The Bias we have to answer in a particular way sets the Criterion, which sets the point at which we change our answer from a no to a yes. our Sensitivity is measured by the distance between the peaks of the ‘yes’ ‘no’ distributions and is called D’ (d prime)

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7
Q

how is d’ calculated?

A

d’=Z(HITS)-Z(F/A)

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8
Q

what is the ROC curve

A

‘Receiver operator characteristics’ curve is HITS (sensitivity) plotted against FALSE ALARMS. you move along the curve when you change your BIAS, so your sensitivity cant change.

        !
        !
        !
Hits !
        !
        !
        !\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
                        False alarms
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9
Q

state the statistical equivalents to these SDT terms;

  • Target present
  • Target abscent
  • Positive response ‘yes’
  • Negative response ‘no’
  • Hit
  • False alarm
  • Miss
  • Correct rejection
A
  • True effect
  • False effect
  • p<0.05, null false
  • p>0.05, null true
  • p<0.05 and effect is true
  • p<0.05 and effect is false (type I error)
  • p>0.05 and effect is true (type II error)
  • p>0.05 and effect is false
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