1. Chapter 5: Classical Conditioning: Underlying Processes S-S vs S-R Learning Theoretical Explanations http://www.youtube.com/watch?v=w3sgR12ZSh8

2. Two Models of Learning S-R model: NSUSUR CS UR

3. S-R Learning Second-Order Conditioning : : After extinction of light No bar pressing

4. Theoretical Explanations Stimulus-Substitution Theory CS acts as a substitute for US “food center”“salivation center” “light center”

5. Sign Tracking

6. Situation where Stimulus-Substitution does not explain events Jump (UR)Freeze (CR)

7. Theoretical Explanations Preparatory-Response Theory CS tells organism to get ready for US

8. Two Models of Learning S-S model: NSUSUR CS US

9. S-S Learning Blocking US and CS associated

10. S-S Learning US Revaluation : US and CS associated

11. S-R model S-S model Dog : Bite  Fear NS US  UR Dog : Bite  Fear NS US  UR Two Models of Learning

12. Homeostatic Systems

13. Theoretical Explanations Preparatory-Response Theory Compensatory-Response Model Unconditioned response to shock: Shock  increased heart rate US UR First few pairings: Tone:Shock  increased heart rate NS US UR Tone  increased heart rate CS CR After repeated pairings: Tone:Shock  increased heart rate NS US UR Tone  decreased heart rate CS CR

15. Drug Addiction Heroin-related cues: Heroin  Decreased blood pressure NS US UR Heroin-related cues  Increased blood pressure CS UR Heroin  Decreased blood pressure  Increased blood pressure a-process b-process US UR/US UR

16. Drug Addiction Heroin-related cues: Relaxing effect  Tension a-process b-process NS US UR Heroin-related cues  tension CS CR

17. Drug Tolerance

18. Theories: What causes the learning? Stimulus-Substitution Theory CS acts as a substitute for US Preparatory-Response Theory CS tells organism to get ready for US Compensatory-Response Model

19. Rescorla-Wagner Model Proposes that the US has a limited amount of associative value, and that this value is distributed among the available CSs

20. Examples 1. Tone (V=0): Food (Max=10)  10 drops of saliva Tone (V=10)  10 drops of saliva

21. Examples 2. [Loud Tone + Dim Light] (V=0) : Food (Max=10)  10 drops of saliva Loud Tone (V=9)  9 drops of saliva Dim Light (V=1)  1 drops of saliva

22. Examples 3. [Tone (V=10) + Light (V=0)] : Food (Max=10)  10 drops of saliva Tone (V=10)  10 drops of saliva Light (V=0)  0 drops of saliva