Factors Influencing Conditioning Intensity Attention Contiguity (aka “when”) Relevance Surprise...

Post on 19-Dec-2015

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Transcript of Factors Influencing Conditioning Intensity Attention Contiguity (aka “when”) Relevance Surprise...

Factors Influencing Conditioning

• Intensity

• Attention

• Contiguity (aka “when”)

• Relevance

• Surprise

• Contingency (aka “whether”)

Next

CS Intensity Affects Rate but not Asymptote of Conditioning

cs US

CS US

Weak CS

Strong CS

Suppression and CS Intensity

Another CS Intensity Effect

Overshadowing – the more salient CS wins if two CS are trained in compound

Group Treatment Test xOvershadow Ax US crControl Ax US CR

US Intensity Affects Rate and Asymptote of Conditioning

CS us

CS US

Weak US

Strong US

Suppression and US Intensity

Back

CS Preexposure Experiment

(Latent Inhibition or LI)Group Phase 1 Phase 2 Test CS Experimental CS CSUS cr Control ---- CSUS CR

• Because the CS is a benign stimulus it will lose the capacity to command attention if preexposed

• Relation to schizophrenia

Back

CSUS

Delay

CSUS

Trace

US

Explicitly Unpaired

Wea

ker

cond

itio

ned

resp

ondi

ngTemporal Contiguity

CS

CS

US

Simultaneous

Back

Is forward contiguity sufficient [enough]?

CS-US Relevance

From Garcia & Koelling, 1966 Back

Blocking and Surprise

Group Stage 1 Stage 2 Test ResultBlocking AUS ABUS B? crControl ABUS B? CR

Back

A Contingency Experiment

Positively Correlated

CS

US

Chance of US per CS = 2/4 = .5

Chance of US outside CS = 0/10 = 0

A Contingency Experiment

Uncorrelated

CS

US

Chance of US per CS = 2/4 = .5

Chance of US outside CS = 5/10 = .5

2/4 = .5

A Contingency Experiment

Negatively Correlated

CS

US

Chance of US per CS =

Chance of US outside CS = 5/10 = .5

0/4 = .0

It’s a little like…

Animals are scientists, trying to make causal predictions.

…trying to determine whether the US is contingent on the CS

Quantifying

• p(US|CS) = proportion of CS trials with a US

• p(US|no CS) = proportion of “background” only trials with a US

p = p(US|CS) - p(US|no CS)

Some Examples

p(US|CS)

• 20/20 = 1.0• 15/20 = .75• 10/20 = .50• 10/20 = .50• 0/20 = 0

p(US|no CS)

• 0/60 = 0• 6/60 = .10• 30/60 = .5• 45/60 = .75• 60/60 = 1.0

• 1.0• .65• 0• -.25• -1.0

p

12345

P(US/no CS)

P(U

S/ C

S)

0 1.0

1.0

Negative

Positive

1

2

3 4

5

+1.0+.65

-.25

-1.0

Consequences for Controls

• Selection of appropriate control depends on your theory– explicitly unpaired (CS pairings)– uncorrelated/truly random control

(contingency)– CS alone (sensitization)– US alone (sensitization caused by arousal)

Rats as Statisticians?

US

CS

no US

no CS

P(US/CS)

P(US/no CS)

Better Idea

• Background becomes associated with the US

• Background competes with CS for association with the US