AR

Yas- CM

Lecture 1 Overview

  • Reminder of Pavlovian conditioning.

  • Demonstrating Pavlovian conditioning.

  • Prediction Error reminder.

  • Inhibition: when it happens, what it is, how to test for it

  • Second-order conditioning vs. inhibition.

  • Pavlovian conditioning is often good, sometimes bad: omission schedules.

Applications of Associative Learning

  • Learning cause-effect relationships (Lecture 1).

  • Attention and addiction (Lecture 2).

  • Anxiety, phobia, and exposure therapy (Lecture 2).

Pavlovian Conditioning Components

  • NS: Neutral Stimulus

  • CS: Conditioned Stimulus

  • US: Unconditioned Stimulus

  • CR: Conditioned Response

  • UR: Unconditioned Response

Example of Pavlovian Conditioning

  • Initial Stage:

    • Metronome (NS) -> No salivation

    • Food (US) -> Salivation (UR)

  • Conditioning Process:

    • Metronome (NS) followed by Food (US) -> Salivation (UR)

  • After Conditioning:

    • Metronome (CS) -> Salivation (CR)

Control Conditions for Pavlovian Conditioning

  • Purpose: To determine if CS-US pairings are crucial.

  • Control setups:

    • CS with no US

    • US then CS

    • CS/US presented randomly

  • Key aspect: keep all conditions identical to the CS-US experimental condition, except for the CS-US pairings.

What is Learned in Pavlovian Conditioning?

  • An 'association' between the CS and the UR: S-R link

  • An association between the CS and US

  • Often conceptualized as a link in memory between the CS and US 'representations'.

S-R Link

  • Bell (CS) -> Salivation (CR)

  • Food (US) -> Salivation (UR)

S-S Link

  • Bell (CS) -> Food (US)

  • Food (US) -> Salivation (UR)

  • Bell (CS) -> Salivation (CR)

Learned Fears

  • Teddy (CS) -> Stab (US)

  • Stab (US) -> Pain (UR)

  • Teddy (CS) -> Fear (CR)

Example: Pleyers et al (2007) Experiment

  • Procedure:

    • Participants see a brand followed by a picture.

    • Participants say ‘ahh’ for nice pictures and ‘yuck’ for nasty pictures.

    • Participants reflect on their expectations during each trial.

Learning Curves

  • A graph showing the strength of the conditioned response (CR) over time.

  • The y-axis represents the strength of the CR.

  • The x-axis represents the number of conditioning trials.

  • Asymptote \, of \, conditioning: The plateau where further training yields minimal increase in CR strength.

Prediction Error Model of Learning

  • Learning happens when predictions are incorrect.

  • A discrepancy exists between expectation and outcome (surprise).

  • Early Learning:

    • Predictions often incorrect due to unfamiliarity.

    • Results in fast learning early in the learning curve.

  • Late Learning:

    • Predictions largely correct.

    • Minimal learning occurs late in the learning curve.

Five Effects of Prediction Error

  • Learning curves: A+ (Lecture 1)

  • Inhibition: A+/AX- (Lecture 1)

  • Blocking: A+ then AB+ (Lecture 2)

  • Extinction: A+ then A- (Lecture 2)

  • Protection from extinction: A+/AX-/B+ then XB- (Lecture 2)

  • They all follow the principle of ‘prediction error’.

Causal Learning Example

  • Scenario: A doctor trying to identify which foods cause migraines in a patient.

  • Method:

    • The patient consumes particular foods each day.

    • The patient predicts whether a migraine will occur ('yes' or 'no').

Example Days

  • Day 17: Food eaten - Apple. Migraine? Yes.

  • Day 18: Food eaten - Pineapple. Migraine? Yes.

  • Day 19: Food eaten - Nectarine. Migraine? No.

  • Day 20: Food eaten - Pineapple and Banana. Migraine? No.

Prediction Error Example

  • Pineapple -> Migraine

  • Pineapple + Banana -> No Migraine

  • Expectation: Migraine

  • Experience: No Migraine

  • Result: Negative prediction error leading Banana to acquire negative associative strength.

Summation Test

  • Testing the inhibitory properties of a cue by combining it with an excitatory cue.

  • Banana and Apple - Migraine?

  • Nectarine and Apple - Migraine?

Summation Test Explained

  • Apple causes migraine.

  • Pineapple causes migraine.

  • Banana inhibits the migraine caused by Pineapple.

  • Inhibition by Banana transfers to the Apple.

Inhibition in the Associative Model (1)

  • Apple -> Migraine

  • Banana -> No Migraine

Inhibition in the Associative Model (2)

  • Apple -> Migraine

  • Banana -> No Migraine

Terms for Similar Things

  • Excitatory CS-US association (e.g., Pineapple -> migraine)

    • The Pineapple CS has positive associative strength

    • The Pineapple CS causes the migraine outcome (US)

  • Inhibitory CS-US association (e.g., Banana)

    • The Banana CS has negative associative strength

    • The Banana CS prevents the migraine outcome (US)

Alternative Inhibition Training

  • Migraines occur almost every day.

  • Migraines do not occur on days when the patient eats Pears.

  • Conclusion: Pears prevent migraines, leading to an inhibitory association (Pears have negative associative strength).

Summation and Retardation Tests

  • Summation Test: Apple -> Migraine, but Bananas reduce US expectation.

  • Retardation Test: Pairing Bananas with Migraine leads to slower learning compared to Nectarine-Migraine pairing.

  • Nectarine is a neutral control cue.

Second Order Conditioning

  • Conditioning where a CS is paired with another CS, rather than a US.

  • Cue A = Pineapple (excitatory stimulus)

  • Cue X = Banana (inhibitory stimulus)

Within-Compound Associations

  • Two kinds of trial:

    • Pineapple = migraine (A+ trials)

    • Pineapple + Banana = no reaction (AX- trials).

Two Opposite Things Occur

  • Inhibition

  • Second-order conditioning

When Inhibition and When 2nd Order Conditioning

  • Non-humans (Yin, Barnett & Miller, 1994):

    • Large number of training trials = inhibition.

    • Small number of training trials = 2nd order conditioning.

  • Humans (Karazinov & Boakes, 2007):

    • Lots of time to think = inhibition.

    • Little time to think = 2nd order conditioning.

  • Inhibition requires some time and thought.

  • 2nd order conditioning is just remembering what went with what?

Karazinov & Boakes (2007) Results

  • X is an inhibitor (PX-/P+).

  • M followed by no outcome (M-).

  • T followed by outcome (T+).

Summary of Inhibition and 2nd Order Conditioning

  • Banana -> no migraine US when the US is expected (due to pineapple).

  • Inhibition: Banana predicts 'no US'. An inhibitory association can form with the US (negative associative strength).

  • 2nd order conditioning: banana can bring to mind pineapple, which brings to mind the migraine US.

  • Both processes happen. Second-order conditioning requires less training (less thought). Inhibition requires more training (more thought).

Usefulness of Pavlovian Conditioning

  • Fear conditioning:

    • CR is freezing – less likely to be spotted.

    • CR is flight (increased adrenalin) – more likely to be able to escape.

  • Conditioning with nausea: CR is a taste aversion – less likely to eat this in the future.

  • Predicting the delivery of food: CR is salivation and other preparation for digestion.

Pavlovian Conditioning Can Be Unhelpful (Hearst and Jenkins 1974)

  • Pavlovian conditioning can be unhelpful

    • Light

    • 60+cm

    • Food hopper

Omission Schedule (Williams and Williams, 1969)

  • Light -> food delivery

  • If the pigeon pecks the light, the light goes off, and food is not delivered.

  • What should the pigeon do? What does the pigeon do?

Lecture Summary

  • Excitatory conditioning often results in links between representations: CS can activate US representation via this link.

  • Inhibition training results in a CS-US inhibitory link or CS-no US link.

  • Learning of both kinds requires a prediction error (positive or negative).

  • Initially, before inhibition develops, 2nd order conditioning is seen in the A+/AX- design, possibly due to associations between cues A and X.

  • Pavlovian conditioning allows the organism to prepare for the US.

  • Sometimes, the CR is unhelpful.

Reading

  • Pearce (2008) Animal Learning and Cognition: An introduction, Chapter 2. In particular pages: 39-43; 46-55.

  • Additional Yin, H., Barnet, R. C., & Miller, R. R. (1994). Second-order conditioning and Pavlovian conditioned inhibition: operational similarities and differences. Journal of Experimental Psychology: Animal Behavior Processes, 20(4), 419.

  • Karazinov, D. M., & Boakes, R. A. (2007). Second-order conditioning in human predictive judgements when there is little time to think. Quarterly Journal of Experimental Psychology, 60(3), 448-460.