Graded Python Exercise 1: Exponential Integrate-and-Fire model with adaptation

This Python exercise will be graded. It is the first of three mini-projects, you must choose two of them and submit through the Moodle platform.

The deadline is March the 25th, at 23:55 (it is a sharp deadline!).

Book Chapters: https://neuronaldynamics.epfl.ch/online/Ch5.S2.html, https://neuronaldynamics.epfl.ch/online/Ch6.S1.html

The details are given in the jupyter notebook template: download this notebook file (https://moodlearchive.epfl.ch/2018-2019/pluginfile.php/2023862/mod_page/content/10/Ex1_firstName_lastName_000%20%281%29.ipynb) to your computer (use "Download linked file as..."). Make sure the extension is .ipynb If your browser adds a .txt extension, rename the file after download.

RULES:

1) You are strongly encouraged to work in groups of 2. You are allowed to work alone. Groups of 3 or more are NOT allowed

2) If you work in a group of 2, BOTH people should upload the same notebook file  

3) If you work alone, you can't share your notebook file with anyone else

4) Discussion between groups is encouraged, but you can't share your code or text

5) The points assigned to each exercise are indicated in the notebook file

6) You should upload a jupyter notebook file with all code run and picture visible. We are not going to run your notebook.

7) Read carefully the instructions at the beginning of the notebook file, answer in a clear and concise way to open questions.

Good luck!