Reading tips: chapter 3 and lab instruction
What is an associative network?
What is the difference between heteroassociation and autoassociation?
Describe the characteristics of Hebbian learning.
What happens in a recurrent linear network?
What is the difference between the model with discrete unit output and the continious unit output?
What is the difference between synchroneous update and anynchroneous?
When is the network guaranteed to converge to a fix point?
Describe convergence to local minima (attractors).
Describe learning in relation to attractors.
Describe spurious attractors.
Describe units with time dynamics (activation time constant).
What aspects of the input patterns affect the storage capacity?