In this lab, you will explore advanced phenomena in classical conditioning:
- Inhibitory Conditioning: How a CS can signal the absence of a UCS and reduce CRs.
- Sensory Preconditioning: How pairing two CSs before conditioning can lead to indirect learning.
- Higher-Order Conditioning: How a CS can acquire strength by being paired with another CS that predicts a UCS.
These exercises demonstrate that learning involves complex associative processes beyond simple CSUCS pairings.
What You Need to Submit
Your combined report must include:
0. Document Header
- Your Name
- Date
- Experiment Title: Lab Report 3
1. Introduction
- Define inhibitory conditioning, sensory preconditioning, and higher-order conditioning.
- Explain why these phenomena are important for understanding associative learning.
- State the overall purpose of the exercises.
2. Method
- Summarize the procedure (Exercise 10-13) for each exercise in your own words.
- Identify the independent and dependent variables for each exercise.
3. Results
Proof of Completion:
- Include screenshots for each exercise:
- Movement Ratio view
- CS Response Strength mind view
- Label each screenshot clearly (e.g., Figure 1: Exercise 10 Stage 1 CS Response Strength).
Observations:
- For each exercise, describe:
- How graphs changed across stages.
- What these changes indicate about inhibitory or higher-order learning.
4. Discussion
Answer these conceptual questions:
- How does inhibitory conditioning differ from excitatory conditioning?
- Why does prior inhibitory conditioning slow excitatory conditioning (Exercise 10)?
- How does response summation demonstrate inhibitory control (Exercise 11)?
- What does sensory preconditioning reveal about SS associations?
- How does higher-order conditioning differ from sensory preconditioning?
- Why do these phenomena challenge simple stimulusresponse theories?
- Provide real-world examples of inhibitory learning (e.g., safety signals), sensory preconditioning, and higher-order conditioning.
- What limitations exist in using Sniffy to model these phenomena?

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