Lecture 6: behaviourism Flashcards

(32 cards)

1
Q

Maguire, gadian, johnsrude and frith 2000

A

cognitive maps
Taxi driver in London
Measure size of hippocampus
= larger in taxi drivers posterior hippocampus
Control = larger anterior hippocampus
Volume changes depending on amount of time as taxi driver
Taxi drivers memorize maps = cause differences in volumes in diff parts of brain

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2
Q

What did Clark hull do

A
  • Student of Tolman’s
  • Wanted to build a science of behavior (behaviour still separate from mind)
  • Unlike Watson, used terms like drive and motivation= Wanted to link to stimulus and response
  • Used mathematics to provide an interrelationship among different
    concepts = Modernly referred to as mathematical psychology (sub branch cognitive psych)
  • Wanted psychology to be “predictive”
    Transition between behaviourism and info processing theories - to predict outcome of exp, more sound theorization
    Proposed theories that are simailr to modern theories in cognitive psych
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3
Q

ex of theory

A

Formula - sEr=sHr x D x V x K
Association framework, stimulus response equation, hull = wanted to precede how rat would behave in diff conditions
sEr= excitatory potential, probability of producing response r given stimulus s
sHr= habit strength (produced through prior conditioning trials, baseline probability of producing response given stimulus, referred to as response bias in modern terms - how likely to produce a behaviour irregardless of anything else)
D = drive strength (how much a response is wanted, ex = hours of deprivation of food, water etc, like how hungry rat its, how much do they want food)
V= stimulus intensity (strength of stimulus, how bright light is, how loud sound, bc empirical studies how shown that stimulus intensity has effect on learning)
K = incentive (how enticing reward is - how valuable like cocaine, certain foods more desirable,)
Integrative attempt to look at dynamic interaction between these diff things in learning

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4
Q

describe hulls work

A
  • Demonstrated a movement towards integrating more cognitive concepts
  • Not overly influential on behaviorists – found his theories too burdensome - not widely accepted
  • Provided the basis for further quantification of human behavior
  • Increased interest in his work as cognitive psychology developed
    Early work integrating more cognitive and mental theorization into theories proposed
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5
Q

renewed interest in reaction times

A
  • Behaviorists mainly focused on using rats as subjects- implied rejection
  • Reaction time studies became popular again in the 40’s and 50’s - ww2, real turning point
  • Renewed interest in F. C. Donder’s research
  • Psychological Refractory Period (PRP; Welford, 1952) a common example - views on cognition aligns with mathematical info processing
    Cog psych not actually a thing yet tho
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6
Q

what is prp

A

Psychologist = try to asses ppls mental capabilities = train soldiers
PRP: Responding to a first stimulus can sometimes delay a response to a second stimulus, especially if the stimuli are presented quickly, one after the other

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7
Q

mental chronometry

A
  • Using measures of time to make inferences about cognitive processes = use reaction time to ensure amount of time it takes cognitive processes to operate
  • Basic question: how fast can a nerve transmit a signal?
  • Hermann von Helmholtz: measured speed of transmission of nerve in a frog - neurophysiology
  • Found a range of 24.6 - 38.4 meters per second, determine speed at which signal sent down, idea = nerves doing something time based
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8
Q

fc donders 1818-1889

A

Figure out if thinking - cognition takes place in different stage of time
* Dutch Ophthalmologist
* Early work using mental chronometry to measure mental processing times
* Donders’ idea: Each processing stage takes time, Increased task complexity takes longer, By looking at difference between stages, can determine how long a single process takes (related to work in parallel vs serial processing)
* Used three main tasks:
* Simple reaction time
* Go-No Go
* Choice reaction time

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9
Q

simple reaction time test

A
  • Simplest reaction time task
  • Participants wait for ANY stimulus
  • Respond as quickly as possible when the stimulus occurs (If see light = press button)
  • Measures “physiological” reaction time
  • Commonly used in psychophysics - like how do exp increase brightness until find level of brightness we cannot see - see how stimulus intensity affects reaction time
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10
Q

go no go

A
  • Participants wait for a specific stimulus (GO)
  • Respond only to the GO stimulus
  • Withhold response to other stimuli
  • Requires stimulus identification
    More control than simple reaction time = have to process and differentiate stimuli = have to inhibit behaviour when see things you are not supposed to respond to
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11
Q

choice reaction time

A
  • There are multiple possible stimuli
  • Respond to each with a unique response
  • Stimulus identification and response selection
    Identify and discriminate between different stimuli and also discriminate across responses and learn
    Increasing complexity - involve diff cognitive operations
    Green square = press button 1
    Red circle = press button 2
    Yellow triangle = press button 3
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12
Q

Donders processing stages

A

Stimulus —> Sensory reception —> diff cognitive stages
= total processing time
Physiological time = time it takes to know stimulus is there
Mental processing time = identification time (discriminate between stimuli), response selection time = find correct response to particular stimulus
Then response
(Stimulus and sensory reception bad response = common, similar across tasks)

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13
Q

assumed mental times

A

Compare processes to separate out how long each cognitive process takes

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14
Q

donders subtractive logic = estimating identification times

A

Measure go no go = physiological time and identification time
MINUS
Simple = psychological time
= identification time
(Functionalism - brain separated into different operations, does diff things = identify tehse)

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15
Q

donders subtractive logic = estimating response selective times

A

Choice = physiological time, identification time and response selection time
MINUS
Go no go = physiological time and identification time
= get response selection time

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16
Q

issues with subtractive logic

A

assumes serial processing - one process happens after other - not true tho, like stimulus processing —> identification —> response selection
What about parallel processing = multiple processes at same time??
However = good way at staring to asses how long things takes and why some things more difficult than others

17
Q

basic prp effect

A

Welford - simple reaction time task= make rapid decision
If have appropriate delay between stimulus being presented = no difffernce in rt
If short delay = amount of time it takes to make second response = increases compared to first

18
Q

explanations of prp effect

A
  • Could reflect hard-wired properties of signalling among nerve fibers (not true tho)
  • Could reflect participants expectations
    = Short delays might be more surprising, and the surprise lengthens the response
  • PRP reflects a central mechanism with a single-channel of limited capacity- proposed by welford, fundamental limitations to amount of something that flow through mind at a time
19
Q

welford 1952

A

In its bare essentials this theory assumes, firstly, a number of sensory input mechanisms each capable of receiving data and storing it for a limited period so that, for example, a short series of signals can be received as a unit. Secondly, it assumes a number of effector mechanisms containing both central and peripheral elements and capable of carrying out a series of actions such as the pressing and release of a key or a series of taps (Vince, 1949) as a single unit. Thirdly, between these two it postulates a single-channel decision mechanism. This is regarded as being of limited capacity in the sense that it takes a finite time to process information and can thus only deal with a limited amount of information in a given time
Info, data, channels, not how behaviour taught tho, talking about it like computer

20
Q

what happened??

A

Technological rev
Cognition is like a. Telephone network
Rely on metaphor available to us
Mathematics of how things work = integrated into how psychologist started to think about brain

21
Q

where does this concept of info come from

A

Claude Shannon - mathematician at bell labs
Mathematical theory of communication - examination fo how to send info over a medium to receiver, quantify info being sent

22
Q

describe information theory

A
  • Widespread influence across sciences
  • Information theory was NOT originally developed as a theory in psychology
  • It is a set of mathematical formalisms to describe communicationsystems
  • Measurement tools from information theory became popular in Cognitive Psychology beginning around 1950 - adapt to brain and mind

Info sent along medium - need to understand and control beginning of digital communication,developed to understand and produce better telecommunication systems

7+/- 2= short term memory can discriminate 7 things, idea came from information theory

23
Q

what is an information channel

A
  • An information channel has three parts:
  • A sender, a channel (medium), and a receiver
    Two questions=
  • How much information was sent?
  • How much was received? - see how much info lost - how accurate it is
24
Q

channel capacity central concept

A

Fundamental concept = amount of info that can be transmitted and received through communication - medium limited in amount of info transmitted at any time, capacity = limited
Welford says this about brain =prp - fundamental finding in capacity of processing

25
communication
* How much information was sent? * How much received? * What caused information loss?
26
measuring info - formula
Shannon proposed to measure information in terms of entropy, or the amount of uncertainty in a system of messages: * H = entropy * P(x) = probability of x occurring Goal =calculate predictability or uncertainty - central to cognition, brains = predicting machines, if not predict= be like wtf
27
describe Shannon’s formula
Defines info in terms of predictability of sequence of messages More predictable sequences = low info - easier to transmit, requires less channel capacity Less predictable sequences = high info = more channel capacity = harder to transmit mesures predictability of signal Help understand how random signal is - like beeps - if all different = hard to predict but if pattern = easier to predict next beep
28
describe effects of measuring info
* Capacity limitations for information channels could be measured and assigned a value * Content of signals could be analyzed in terms of how much information they carry * Amount of information lost during transmission could be quantified * Led to improvements in telecommunications systems and technology - lead to producing computers and optimizing signals and binary mathematics as being dominant form computation Important for military - help understand what one person can do/how many people needed
29
bits and unique events
Shannon’s formula uses a base 2 logarithm which produces a number in the unit of bits (0 and 1s) * Bits can be used to measure the total number of discrete events in a system of messages Increase bits = increase info in measure (number of things that can be contained in message) 1 bit =2 events 2 bit = 4 events 3 bit=8 events (+/- 2 idea, fundamental capacity) 2^bits (increase exponentially amount of states that can be represented) Have to discriminate if descriptive or prescriptive = ppl ran with this idea that minds are computers, not actually like digital computers tho, descriptive way of looking at mind = very important
30
consider events a b c d
Ex of entropy = measure predictability (if easy to predict) /uncertainty (confusion/how unaware of next state) If occur equal amount of time - 2 bit =high info = low predictability or high uncertainty or high info, cannot expect next layer If probability of event a 97% =0.97 highly predictable, low amount of info
31
What was Shannon interested in
Interested in lossless compression = how to retain signals with losing MAx amount info = tehse calculations = allow you to compress study by predictability We use it to estimate channel-info constraints on cognition Constrained learning - info processing helped understand how limited out cognition is - stm/working memory
32
info theory and cognition
Ideas from information theory were imported into cognitive psychology around the 1950s big idea was to describe limitations in “information processing” abilities- underlies all of cognition, very important movement, E.g., how much “information” can you process? * Led to notions like capacity limitations * Also to an analysis of serial vs. parallel processing in the brain Info theory = over took behaviourism -1950s =get more info modern approaches and theories of cognition that are still used today Chomsky - next class - software side, look at languages