Sissejuhatus arvutuslikku neuroteadusesse 2021/22 sügis

Introduction

The aim of the project is to get a closer experience with a topic related to neuroscience. The specific goal of the project can include analyzing or collecting real neural data to prove or disprove some theory about inner workings of the brain, detecting new interesting neural patterns using ML, which might lead to new hypotheses, coming up with cool visualisations of the data, applying a new method or algorithm, etc...

Topics

G-doc with brief descriptions of topics HERE. However, feel free to suggest a project that motivates you. We encourage you to think of your own topic/idea. All you have to do is to validate it with any teacher of the course.

During the project fair and the week after you can choose a project by adding your name to the following spreadsheet with the list of projects: >>HERE<<

Previous Year Examples

Check examples of blog posts from last year:

How to make good use of a mouse neuron response data to different stimuli?

How the circadian rhythm affects performance?

Artificial or Real.

DEADLINES

Information will be provided as the course progresses.

• Checkpoint 1: 16/11/2021 23:59:59
  
  • Each group (1-4 students) has to fill in this project form (length should stay about 1 page) and upload it as a PDF under Project Checkpoint 1.
  • Being late penalty: -2.5 points (deadline is strict)
• Checkpoint 2: 14/12/2021 23:59:59
  
  • Create an empty version of your final blog. Fill in the Introduction and Background sections. If you want, you can also start filling in Methods and Results. Upload the link in text file under Project Checkpoint 2.
  • Being late penalty: -5 points (deadline is strict)

• BLOG DEADLINE: 24/01/2022 23:59:59
  
  • Final Blog The blog should explain the motivation, methodology, results and conclusions of your project. You can also explain things that work and did not work along the project. Add images, gifs and make your blog interactive if your project allows you to.
  • We suggest you to use Medium for your blog, but you can use other platforms.
  • People who presented on the first date can keep on working on their projects and add new results to the blog until the final blog deadline.
  • Being late penalty: -inf points (deadline is strict)
• PRESENTATION:
  • There are two presentation dates.
    • First presentation:

      • Date: January 11, 2022
      • Time: 14:15-18:00
      • Place: online

    • Second presentation:

      • Date: January 25, 2022
      • Time: 14:15-18:00
      • Place: online

  • To present on the first date you need to have secured the main results already. Methods and expected results are not enough. If you have no results yet (due to lack of GPU time, for example), you need to postpone the presentation to the second date.
  • You will have 8-10 min for the presentation and 2-3 minutes for questions. Usually, you can use your blog post for the presentation instead of slides. You should limit your slides to fit into that time. No posters are needed.
  • If you want and your project allows you to, you can also do a demo.

Points

The project gives up to 40 points of your final grade:

• 20 for the content.
• 10 for the appearance and structure of the blog.
• 10 for final presentation.
• However, the intermediate milestones are a wonderful way to lose points - if you fail to deliver or they are not thorough enough, you will be penalized.
• By default, all members of a group get the same amount of points. If you have complaints about a team member inform your supervisor immediately. Also, before starting, choose well who you work with (do not take freeloaders) . It is mandatory to put a section in your blog who did what.

Submissions