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Flashcards

Visual Psychophysics

Kim Vu Visual Functions - Optometry Postgraduate Inglês 27 flashcards

Flashcards do conjunto (27)

  1. 1Define psychophysicsbranch of psychology that relates physical stimuli with mental phenomena
    - black box analogy (presenting light to a black box and based on the output of the box, work out what is going on inside the box)
  2. 2Role of psychophysics in clinical optometryDetermine the how light interact with the eye to produce a perception
  3. 3Threshold psychophysicsMinimum amount of light required to detect a stimulus or a difference in stimulus from another
  4. 4Supra-threshold psychophysicsinvolves observer making a subjective judgement about a stimulus that is well above threshold (clearly visible)
  5. 5Thresholdsmallest stimulus intensity required for detection or discrimination (able to detect that they are different from one another)
    threshold=1/sensitivity (expressed in log 10)
  6. 6Why use log scale?Represent large range on a smaller scale to make it more manageable
  7. 7How to measure threshold?- method of adjustment
    - method of limits
    - staircase (modified method of limits)
    - method of constant stimuli
  8. 8Two sources of major errors when measuring threshold?- error of habituation (continuously saying no - overshoot threshold)
    - error of anticipation (feel like saying yes because they said no too many times - undershoot threshold)
  9. 9Error of habituationHave a habit of responding a certain way
    - started at threshold too low to begin with
    - cause overshoot threshold
  10. 10Error of anticipationPatient anticipates when they think they will reach threshold by responses
    * undershoots threshold
  11. 11Method of constant stimuli* randomly present stimulus at different intensity levels
    * data obtained to construct psychometric function
  12. 12Psychometric functionGraph showing percent stimuli detected vs stimulus intensity
    * s-shaped curve
    * threshold is defined in experiment as intensity of the stimulus when 50% of trials are correct
  13. 13Classical Threshold TheoryEarly theory
    * measured threshold = estimate of neural threshold
    * sharp transition between sensation and no sensation
    * stimulus must cause a critical amount of neural activity for threshold to be exceeded
    * threshold varies with stimulus property and adaptive state
    * repeats (identical) will produce same response
  14. 14Primary assumptions of classical threshold theory* threshold varies over time
    * stimulus only generates a response if it exceeds the momentary threshold
    * if momentary thresholds are normally distributed, psychometric function = cumulative normal (ogive)
    * Mean and SD of distribution of momentary threshold can be calculated from psychometric function
  15. 15Changes in shape of momentary threshold graph* difference in mean threshold - shift graph along x-axis
    * difference in SD of threshold - changes steepness of the graph
  16. 16Signal detection theory* signals are alway detected against a background of activity/noise
    * external noise (stimulus noise) and internal noise (spontaneous activity)
    * SDT models discrimination of signal+noise from noise alone
    * brain has to discriminate between signal and noise
  17. 17Signal detection theory * Receiver-Operating Characteristic (ROC) curve* plots relationship between the probability of reporting "yes" when the stimulus is present and the probability of reporting "yes" when it is absent
    * Plots hit rate as a function of false alarm rate
    * Each curve represent data for one stimulus intensity
    * Each point on curve represents a different criterion
    * Larger the separation - higher threshold
  18. 18SDT - Sensitivity* d' : is the separation between means of N and S+N
    * as d' increases, greater separation between the two distributions
  19. 19Method of adjustment* allows subject to adjust the stimulus until they can just see it or not
    * useful in obtaining quick threshold estimate
    * not criterion-free estimate: false alarm rate
    * potential problems: with repeated measurement, may be able to do the task with eyes closed
  20. 20Method of limits*Modify stimulus from seeing to non-seeing (descending ) and from non-seeing to seeing (ascending)
    * repeat and take average to determine threshold
    * cancels out both errors
    * cons: less efficient if start off too low or too high
  21. 21One-way method of limitsmodifying stimulus from non-seeing to seeing (ascending)
    * used for measuring dark adaptation
    modifying stimulus from seeing to non-seeing (descending)
    * testing visual acuity
  22. 22staircase methodpresents a stimulus to an observer in discrete steps of increasing and decreasing visibility
    * start off ascending and then switch to descending once observer sees stimulus
    * switch again once observe can no longer see stimulus
    * avoid redundant stimuli
  23. 23Psychometric function graphShape of the psychometric function depends on the observer
    * subject with liberal criterion - "think" you see (low threshold but doesn't bottom out at zero - more false positives)
    * subject with strict criterion - threshold is higher, less false positives
  24. 24determining psychometric functions for 2 alternative forced choice (2AFC)* contain only two options - forced to pick one
    * more objective measure of threshold
    * if they are unable to see - take guess (50% chance of getting right)
  25. 25Forced choice experiment* psychometric function generated by measuring responses to multiple stimuli: subject must always respond
    * subject given a number of choices (2AFC or 4AFC)
    * threshold measure is criterion-free
    * guessing determines the lowest probability correct (lower asymptote = false alarm rate, hence threshold percentage is altered
  26. 26Supra-threshold psychophysics* specifically dealing with stimulus above threshold
    * asking subject for a judgement on a relative sensation
    * Fechner and Stevens both provide laws to predict the association between perceived stimulus intensity and actual intensity
  27. 27Stephen's Power Law* log transformation - linearise data

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Postgraduate Visual Functions - Optometry (Visual Functions - OD1) FlashCards sobre Visual Psychophysics , criado por Kim Vu em 24-05-2018.
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Kim Vu
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