1. What is the difference between AMPA and NMDA receptors in synaptic plasticity? Why are these important for synaptic plasticity?

2. What is the formula for the simple Hebbian learning rule and how do you solve it? What does it represent? What is it's relation to storing (association) and retrieving (reading)?

3. How do you calculate output activations? How do you store a second association?

4. How does the Pattern Associator account for retroactive and proactive interference?

5. What are the distributed neural representations of red, green, and blue? Why?

6. How do similar imports give rise to similar outputs?

7. What is the auto-associator network?

8. What are recurrent nets and why do they have loops?

9. What is content addressable memory?