Task 5 - Neo-Hebbian Learning and Memory formation

Question 1

Hebb’s law

Answer 1

What fires together wires together

Question 2

Neurode

Answer 2

An artificial neuron, having several input signals and 1 output signal

Question 3

Neo-Hebbian Learning

Answer 3

Translates Hebb’s law into mathematical form
Two dynamical differential equations
1. One governing activity of neurons
2. One governing weight of connections

Question 4

Outstar vs. Instar

Answer 4

Two ways of looking at a neurode
1. Instar: The inwardly directed stimulus signals (receiving)
2. Outstar: The outgoing stimulus signals (sending)

Question 5

Outstar simulator

Answer 5

Simplified version of outstar/instar equations for use in a computer model

Question 6

Differential Hebbian Learning

Answer 6

A variation of Hebb’s law, in which the connection strength changes according to the difference in the receiving neurode’s activation and the change in the incoming stimulus signal.

Question 7

Acquisition curve

Answer 7

Used in Hebbian learning to show how learning occurs with training time

Question 8

Drive reinforcement theory

Answer 8

An artificial system that models classical conditioning, based on a modification of differential Hebbian learning
Also defined by 2 equations: an activity equation and a weight change equation