Sensation & Perception

 

Introduction:

"There is no conception in man's mind which hath not at first, totally or by parts, been begotten upon the organs of sense." (T. Hobbes, 1651).

Question: Do we have any knowledge not obtained by our senses?

Question: Can we detect everything there is to detect in the environment?

normal visual spectrum of light

ultra violet light

Other examples?

 

 

 

 

Sensation & Perception:

 

 

Sensation:

 

 

e.g.

 

 

 

Transduction:

 

 

e.g.

 

 

 

Perception:

 

 

e.g.

 

 

 

 

Cognition:

 

e.g.

 

 

 

Action:

 

 

 

The Perception/Action Cycle:

"We must perceive in order to move, but we must also move in order to perceive". (Gibson, 1979)

 

 

 

e.g.

 

 

 

 

Perception's Main Themes:

1. Sensory Transduction & Neural Coding:

 

 

 

 

2. Differences Among Species and Among Individuals:

 

 

 

e.g. Where eyes are located.

 

 

 

 

 

3. Clinical Insights and Disordered Perception:

 

 

 

e.g.

 

 

 

 

4. Top-down influences:

a) top-down:

 

 

 

 

 

 

e.g.

 

 

 

e.g.

 

 

 

 

 

b) bottom-up:

 

 

 

 

 

 

 

 

Methods for Studying Sensation & Perception

Question in S&P: Do our perceptions match the physical stimulus from the environment?

 

How is perception measured?

1. Phenomenological Method:

 

e.g.

 

Problems:

a)

 

e.g.

 

e.g. Anton's Syndrome:

 

 

two different areas of brain damaged:

1)

 

2)

 

 

 

 

b)

 

 

2. Biological Approaches:

a) Lesion Techniques:

 

 

 

b) Brain Imaging Techniques:

 

e.g. positron emission tomography (PET)

 

 

 

e.g. fMRI (functional magnetic resonance imaging)

 

 

 

c) Single-cell Techniques:

 

 

 

 

 

3. Experimental Approaches:

a) Psychophysical Methods: original methods showing that mental activity could be quantified. 1st Focused on Detection Thresholds (Gustav Fechner, 1801-1887)

i)Absolute Threshold -

 

 

 

e.g.

 

 

 

1. Method of Limits -

 

 

  • Descending series:

 

 

 

 

 

 

 

  • Ascending Series:

 

 

 

 

 

 

 

  • Advantage:

 

 

 

 

 

  • Disadvantage:

 

1.

 

 

2.

 

 

 

2. Method of Constant Stimuli-

 

 

 

e.g.

 

 

 

 

 

  • Advantage:

 

 

  • Disadvantage:

 

 

  • Disadvantage:

 

 

 

 

3. Method of Adjustment -

 

 

 

e.g.

 

 

  • Advantage:

 

  • Advantage:

 

  • Disadvantage:

 

 

Some approximate absolute threshold values. (Table 2.1 in text)

Light: A candle flame seen at 30 miles on a dark clear night

Sound: The tick of a watch under quiet conditions at 20 feet.

Taste: One Tsp of sugar in 2 gallons of water.

Smell: One drop of perfume diffused into the entire volume of a 3-room apartment

Touch: The wing of a bee falling on your cheek from a distance of 1 cm.

 

 

ii) Difference Threshold - (via Ernst Weber)

 

 

 

 

e.g.

 

 

 

 

 

 

method:

 

 

 

 

 

 

 

 

 

 

 

 

jnd (just noticeable difference):

 

 

DL=

 

jnd=

 

 

e.g.

 

 

Ernst Weber's findings -

 

 

 

e.g. a hypothetical example of a difference that can be detected:

standard stimulus = 10
comparison = 12

1 jnd = 2 units at intensity 10

but

standard stimulus = 100
comparison = 120

1 jnd= 20 units at intensity 100

 

A. Weber Fraction:

 

 

 

k= DI / I

 

 

k=

 

DI =

 

I =

 

 

 

example:

 

 

 

Some Real Weber Fractions:

Taste:

 

Pitch of pure tones:

 

Research on Weber's Law:

  • useful for a number of discrimination situations

  • but this fraction only holds true for values in the middle range of detection.

 

iii) Magnitude Estimations-(S. S. Stevens) -- different approach to relation between stimulus intensity and perceptual magnitude.

 

Method:

 

 

 

 

 

 

 

 

Results:

 

 

 

 

 

Stevens's Power Law:

 

 

S = kI n

 

S=magnitude estimation

k=constant

I=physical intensity

n= exponent/power

Some known Exponents for Stevens's Power Law:

 

Brightness = .33

Apparent Length =1.0

Electric Shock = 3.5

 

Heaviness =

Smell (coffee odor) =

Temperature (warmth) =

Temperature (cold) =

 

Final note about Weber and Stevens Laws:

 

 

 

 

 

c) Signal Detection Theory (SDT):

Process 1:

 

a) person

 

b) stimulus intensity

 

 

Process 2:

 

 

General Method used to examine these 2 processes.

Task:

 

 

 

 

 

 

Example: say if a different sized dot (signal) is present or not
(display only shown for a second)

NOISE ALONE:         NOISE + SIGNAL:
       

 

 

Four possible outcomes can occur for any given trial.

    Observer's Response
   

"Yes, I do hear it"

"No, I don't hear it"

Presence or Absence of Signal

Present





 
 

Absent





 

Can use this experimental method to separate out the two processes:

 

 

 

Dot Example:

Process #1

a) person: some people have better vision and discrimination abilitities

 

b) stimulus intesity:

 

NOISE + SIGNAL: (easy)     versus     NOISE + SIGNAL: (hard)
         

 

Process #2: criterion

 

I'll give you $1 for every "Hit" you get.

 

versus

 

I'll take away $1 for every "False Alarm" you get.

 

 

 

 

Example 2: detecting the phone ringing when in living room vs. shower.

process #1:

 

 

 

 

 

 

 

 

 

process #2:

 

 

 

 

 

 

 

 

 

 

 

Hyothetical Results from SDT experiment:

    Observer's Response
   

"Yes, I do hear it"

"No, I don't hear it"

Presence or Absence of Signal

Present

0.75

0.25

 

Absent

0.30

0.70

 

There are 2 ways to change the results:

1)

 

 

 

 

 

 

 

2)

 

 

 

 

 

 

 

 

 

e.g. Could present the signal on 90% of the trials (or give high payoff for hits relative to low deduction for mistakes)

    Observer's Response
   

"Yes, I do hear it"

"No, I don't hear it"

Presence or Absence of Signal

Present

   
 

Absent

 


 

 

 

Could present the signal on only 10% of the trials (or give high payoff for correct rejections & low reduction for mistakes)

    Observer's Response
   

"Yes, I do hear it"

"No, I don't hear it"

Presence or Absence of Signal

Present

   
 

Absent

 


 

 

 

 

 

 

 

 

How to Determine Sensitivity and Criterion:

use Probability Distributions:

 


 


 

Noise Distribution: shows probability of achieving a given perceptual effect on noise trials.

 

 

 

Signal + noise Distribution: shows the probability of achieving a given perceptual effect on signal + noise trials

 

 

 

 

 

 

 

 

 

 

 

 

Measuring Sensitivity and Criterion with SDT using Probability Distributions:

 

1. Sensitivity = d' (d-prime)

 

 

 

 

 

 

 

 

 

 

 

 

e.g. high sensitivity

 

 

 

e.g. low sensitivity

 

 

 

 

 

 

 

 

2. Criterion = b (beta)

 

 

e.g. Conservative criterion

 

 

 

 

 

 

e.g. Liberal criterion

 

 

 

 

 

 

 

 

 

Receiver Operating Characteristic Curves (ROC Curves)

 

 

 

 

 

 

  •  

 

 

 

 

 

e.g.

 

 

 

  •  

 

 

 

 

 

 

 

 

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