100% satisfaction guarantee Immediately available after payment Both online and in PDF No strings attached 4.2 TrustPilot
logo-home
Case

Assignments week 4 Computational neuroscience

Rating
-
Sold
-
Pages
3
Grade
9-10
Uploaded on
21-06-2022
Written in
2021/2022

Score 90/100 points.

Institution
Course








Whoops! We can’t load your doc right now. Try again or contact support.

Written for

Institution
Study
Course

Document information

Uploaded on
June 21, 2022
Number of pages
3
Written in
2021/2022
Type
Case
Professor(s)
M. senden
Grade
9-10

Subjects

Content preview

Before you turn this problem in, make sure everything runs as expected. First, restart the
kernel (in the menubar, select Kernel→Restart) and then run all cells (in the menubar,
select Cell→Run All).
Make sure you fill in any place that says YOUR CODE HERE or "YOUR ANSWER HERE", as
well as your name and collaborators below:
NAME = Kiki Boumans
COLLABORATORS =

File "<ipython-input-1-342a7c538cbf>", line 1
NAME = Kiki Boumans
^
SyntaxError: invalid syntax




Assignments week 4
Complete the assignments below, save the notebook and submit them on canvas.

Assignment 4.1
According to the Hodgkin classification does the Hodgkin-Huxley neuron exhibit class 1
excitability or class 2 excitability? Justify your choice.
Class 1 excitability: Action potentials can be generated with arbitrarily low frequency,
depending on the strength of the input current. The F-I curve is continuous. Class 2
excitability: Action potentials can be only be generated within a limited frequency band.
The F-I curve is discontinuous.
Hodgkin-Huxley neurons exhibit class 2 excitability, because strengthening the input
current will increase the firing rate of the neuron. If the input current would be used as a
bifurcation parameter (parameter that changes the stability of the equilibrium, in this case
the action potential) then the Hodgkin-Huxley model undergoes a socalled Hopf
bifurcation. However, due to the Hopf bifurcation there is a minimum firing rate for the
neurons. This indicates that either the neuron is not firing at all, or firing at the minimum
firing rate, which is also called the all-or-none principle. Due to this principle, there is no
continuous increase in action potential amplitude, but it is discontinuous with sudden
jumps in amplitude.

Assignment 4.2
Find the fixed-points of the 1-dimensional dynamical system defined by $ \dot x = rx - x^3
$ and determine whether they are attractors or repellors for r =0.5.
$ \dot x = rx - x^3 $
The fixed points are ẋ=0 and x=0
$4.83
Get access to the full document:

100% satisfaction guarantee
Immediately available after payment
Both online and in PDF
No strings attached


Also available in package deal

Get to know the seller

Seller avatar
Reputation scores are based on the amount of documents a seller has sold for a fee and the reviews they have received for those documents. There are three levels: Bronze, Silver and Gold. The better the reputation, the more your can rely on the quality of the sellers work.
kikiboumans Maastricht University
Follow You need to be logged in order to follow users or courses
Sold
150
Member since
4 year
Number of followers
88
Documents
25
Last sold
4 weeks ago

4.2

16 reviews

5
5
4
10
3
0
2
1
1
0

Recently viewed by you

Why students choose Stuvia

Created by fellow students, verified by reviews

Quality you can trust: written by students who passed their tests and reviewed by others who've used these notes.

Didn't get what you expected? Choose another document

No worries! You can instantly pick a different document that better fits what you're looking for.

Pay as you like, start learning right away

No subscription, no commitments. Pay the way you're used to via credit card and download your PDF document instantly.

Student with book image

“Bought, downloaded, and aced it. It really can be that simple.”

Alisha Student

Frequently asked questions