Lecture 9.3

Question 1

What is a model?

Answer 1

Any description of a process of interaction that also must make testable predictions

Question 2

Describe computer simulation (3 points)

Answer 2

Uses mathematical models from the nervous system to predict potential activity
Can reveal emergent properties of the network
Allows for many neurons to be tested together`

Question 3

Describe compartmental models (3)

Answer 3

Good for identifying single neurons and what they might do
Not really used for large networks due to large computational requirements
Can identify specific channels that fit with changes in behaviour

Question 4

What are network models used for?

Answer 4

For larger scale networks

Question 5

What is needed to make a realistic model?

Answer 5

A large enough network

Question 6

What is a realistic model?

Answer 6

Where all neurons are analysed, large computational requirements

Question 7

What is an abstracted model?

Answer 7

Model where assumptions are made on the broader scale to obtain a general rule for the system, less computing needed

Question 8

What are Integrate and fire neurons?

Answer 8

Hybrid of realistic and abstract models
You simulate regular cognitive activation, this leads to synaptic input summation and a stereotypic AP is produced.
Easy option as no need to model the voltage of the AP which decreases complexity