Dear students,
The first graded python exercise is now available on the Moodle. You have to choose 2 out of the 3 graded python exercises that are going to be proposed during the course.
The topics are going to be as follows:
- The Exponential Integrate-and-Fire model + AdEx: the Adaptive Exponential Integrate-and-Fire model
- Hopfield Network model of associative memory
- Perceptual Decision Making (Wong & Wang)
You must submit 2 of these 3 exercises and together they are going to count 30% of the final grade.
During the last week of the semester, there is going to be a fraud detection section, where we are going to ask a few questions to each student to be sure there wasn’t any cheating. The fraud detection doesn’t influence your grade (it is either passed or not).
Rules for the graded python exercises:
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.
About the first graded exercise: you can start working on it today and you have 4 weeks to submit (please check the submission link on the Moodle and notice that the deadline is sharp). Ideally you can solve the first part of the exercise (The Exponential Integrate-and-Fire model) during the next 2 weeks and the second part (AdEx: the Adaptive Exponential Integrate-and-Fire model) during the following 2 weeks. In fact, for the AdEx part, you are going to need the phase-plane techniques that are going to be explained in lecture 4.
If you have questions, please share them in the forum.
Good luck!
The TAs
