Theories Of Conditioning Flashcards

1
Q

The Rascorla Wagner model

A
  • The Rescorla-Wagner model focuses on the surprise value of the US to explain learning
  • The Rescorla-Wagner model ‘predicts’ the typical profiles of acquisition, extinction and inhibitory learning
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2
Q

The makintosh model uses

A

Attentional variables

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3
Q

Pearce hall model deals with

A

CS salience

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4
Q

Pavlov temporal contiguity theory

A

Closeness in time certainly helps animals to form associations between events

But temporal contiguity has to be inadequate as a complete theoretical account of classical conditioning
And studies of taste aversion show it isn’t necessary either
(see my last lecture: 3. Mechanisms of conditioning)

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5
Q

Pavlov temporal contiguity theory

A

Conditioned taste aversion over long delays

Smith and Roll 1967

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6
Q

Kamins blocking experiment

A

Design and results

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7
Q

Rescorla Wagner 1972

A
  • Originally focused on the surprisingness of the US; or discrepancy between obtained and expected reinforcement
  • Pairing CS with unexpected US will increase strength of connection between them to a maximum determined by the magnitude of the US
  • In later version, the surprisingness of the CS was also taken into account
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8
Q
  1. Rescorla-Wagner (1972)
A
  • Subsequent capacity of CS to activate US representation held to depend on strength of association between them (measured as strength of CR)
  • On each CSUS pairing, variable increase in associative strength, depending on current associative strength of CS and max. supportable by US
  • So learning should be most rapid early in conditioning, rate should level off later
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9
Q

Rescorla-Wagner (1972)

A

Equation used to express theory formally:
∆V = (-V)
V: strength of CS-US association
∆V: change in strength of association on a particular trial
: set by magnitude of US and sets maximum strength CS-US association can reach
: reflects salience of CS and is invariant throughout conditioning

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10
Q

Rescorla-Wagner (1972): ∆V = (-V)

A
Acquisition
Assuming  is set at 0.20 and  at 100:
Trial 1
For novel CS, V is zero because the CS has no associative strength, so
∆V = 0.20(100-0)
∆V = 20
Trial 2
After trial 1, V is now 20, so
∆V = 0.20(100-20)
∆V = 16
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11
Q

The effect of US magnitude on learning

A

Lower asymptote cf. sensory preconditioning - behaviourally silent

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12
Q

The effect of CS salience on learning

A

Overshadowing, CS intensity relative to background, depressed acquisition function resembles that seen with a conditioned inhibitor

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13
Q

Rescorla-Wagner (1972): ∆V = (-V)

A
Extinction
lis now zero because the US is absent and (in our example) the associative strength of the US reached 100:
Trial 1
∆V = 0.20(0-100)
∆V = -20
Trial 2
∆V = 0.20(0-80)
∆V = -16
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14
Q

Conditioning with compound stimuli

A

Rescorla Wagner 1972
US surprisingness will now depend on how well this event is predicted by all the available stimuli
VALL = algebraic sum of all CSs present on any given trial
So for CSA on a single compound conditioning trial, ∆VA = A( - VALL)

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15
Q

Conditioned inhibition (CI) aka inhibitory learning

A

Phase 1: CSL -> US; VL approaches value  = 1
Phase 2: (CIN + CSL) -> no US;  = 0;
ΣV (sum of associative strengths of L and N) approaches zero

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16
Q

Rescorla-Wagner model: Conditioning of inhibition

A

Safety signal in avoidance learning

17
Q

The take home message from Rescorla-Wagner theory

A

V: strength of CS-US association

∆V: change in strength of association on a particular trial

: magnitude of US, sets maximum strength CS-US association can reach

: salience of CS, invariant throughout conditioning

18
Q

Wagner (1981)

A

Proposed modification of Rescorla-Wagner (1972) to include CS factors
Notion that CSs must also be surprising
Animals respond to novel stimuli with an orienting response (OR)
With repeated presentation, the OR declines (habituation)
And the associability of the stimulus declines (latent inhibition)

19
Q

Mackintosh (1975)

A

Animals pay attention to, and so condition most readily to, stimuli established as good predictors of significant events like food

Lawrence (1949, 1950) studies of discrimination learning – ‘the acquired distinctiveness of cues’ – associability is not a fixed factor dependent on intensity (see Mackintosh, 1974, 1983)
●As the associative strength of CS and US increases, the associability of that same CS with other outcomes should increase
●The associative strength of poor predictors should decline…

20
Q

Hall and Pearce experimental design; (B) Phase 2

A
  • Notice that the phase 1 training wasn’t very effective (tone SR = 0.45)

Hall & Pearce (1982) reported similar experiment in which the phase 1 training was more effective (tone SR = 0.32)

21
Q

Pearce-Hall (1980)

A

Animals should not waste time processing events with known consequences:

1) Stimuli with established consequences are processed in automatic mode and cannot enter new associations
2) Stimuli with unknown consequences are processed in controlled mode and can enter into new associations