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

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Presentation on theme: "Factors Influencing Conditioning Intensity Attention Contiguity (aka “when”) Relevance Surprise Contingency (aka “whether”) Next."— Presentation transcript:

1 Factors Influencing Conditioning Intensity Attention Contiguity (aka “when”) Relevance Surprise Contingency (aka “whether”) Next

2 CS Intensity Affects Rate but not Asymptote of Conditioning cs US CS US Weak CS Strong CS

3 Suppression and CS Intensity

4 Another CS Intensity Effect Overshadowing – the more salient CS wins if two CS are trained in compound GroupTreatmentTest x OvershadowAx  US cr ControlAx  US CR

5 US Intensity Affects Rate and Asymptote of Conditioning CS us CS US Weak US Strong US

6 Suppression and US Intensity Back

7 CS Preexposure Experiment (Latent Inhibition or LI) GroupPhase 1Phase 2Test CS Experimental CSCS  US cr Control ----CS  US CR Because the CS is a benign stimulus it will lose the capacity to command attention if preexposed Relation to schizophrenia Back

8 CS US Delay CS US Trace US Explicitly Unpaired Weaker conditioned responding Temporal Contiguity CS US Simultaneous Back

9 Is forward contiguity sufficient [enough]?

10 CS-US Relevance From Garcia & Koelling, 1966 Back

11 Blocking and Surprise GroupStage 1Stage 2Test Result Blocking A  USAB  US B? cr Control AB  US B? CR Back

12 A Contingency Experiment Positively Correlated CS US Chance of US per CS = 2/4 =.5 Chance of US outside CS =0/10 = 0

13 A Contingency Experiment Uncorrelated CS US Chance of US per CS = 2/4 =.5 Chance of US outside CS =5/10 =.5

14 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

15 It’s a little like… Animals are scientists, trying to make causal predictions. …trying to determine whether the US is contingent on the CS

16

17 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)

18 Some Examples p(US|CS) 20/20 = 1.0 15/20 =.75 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 p p 1 2 3 4 5

19 P(US/no CS) P(US/ CS) 0 1.0 Negative Positive 1 2 34 5 +1.0 +.65 -.25

20 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)

21 Rats as Statisticians? US CS no US no CS P(US/CS) P(US/no CS)

22 Better Idea Background becomes associated with the US Background competes with CS for association with the US


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