Task 4

Question 1

The difference between output and desired solution

Answer 1

“What fires together wires together”

Question 2

Which two problems of strict Hebbian Learning does Drive Reduction Theory try to resolve?

Answer 2

• Problem of timing: In Hebbian learning, systems learn, when things happen simultaneously, whereas in reality they have to happen in succession for learning to occur.
• Problem of acquisition curve: Hebbian learning is linear, whereas in reality, the increase changes as a function of the present learning stage

Question 3

How is the biological characteristic of neurons being either inhibitory or excitatory represented in neural networks?

Answer 3

In that no weight can reach zero. They stay either positive or negative, as otherwise the whole system would converge to zero.

Question 4

What is the basis of a recurring neural network?

Answer 4

When the new input is the previous output