Introduction to Computational Neuroscience 2018/19 fall

Introduction

The aim of the project is to analyze or collect real neuroscientific data in order to prove or disprove some theory about inner workings of the brain, find new interesting patterns, which might lead to a new theory, come up with cool visualizations of the data, apply new method or algorithm, etc.

Previous Year Examples

Check examples of project reports from last years:

https://courses.cs.ut.ee/2016/neuro/fall/Main/ProjectPages

https://courses.cs.ut.ee/2015/neuro/spring/Main/ProjectPages

https://courses.cs.ut.ee/2014/neuro/spring/Main/ProjectPages

DEADLINES

• Checkpoint 1: 05/11/2018 23:59:59
  
  • Choose your topic and form teams. Upload the list of the team members and the topic you have selected under Project Checkpoint 1
  • Being late penalty: -2.5 points
• Checkpoint 2: 19/11/2018 23:59:59
  
  • Each group (3-4 students) has to fill in this project form (length should stay 1 page or so) and upload it under Project Checkpoint 2.
  • Being late penalty: -2.5 points
• Checkpoint 3: 17/12/2018 23:59:59
  
  • Create an empty version of your final report. Fill in the Introduction and Background sections. If you want, you can also start filling in Methods and Results. Upload it under Project Checkpoint 3.
  • Being late penalty: -10 points
• REPORT DEADLINE: 25/01/2019 23:59:59
  
  • Final Report should be ~15 pages (depending on the amount and size of images), this includes the references.
  • Report format (advisory): It would be nice if you format your report like a scientific paper rather than a thesis. This means no title page, no table of contents, but with abstract, references, author contributions etc.
  • People who presented in early January can keep on working on their project and add new results to the report until the late January presentation date.
  • Being late penalty: -inf points
• PRESENTATION:
  • There is two presentation dates:
    • 15/01/2019 - 12:00 - 15:00, Place: Ülikooli 17, room: 219
    • 25/01/2019 - 14:00 - 17:00, Place: Liivi 2, room: 404
  • To present in 15th of January you need to have 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 25th of January.
  • You will have 10 min for the presentation and a few minutes for questions. You should limit your slids to fit into that time. No posters needed.
  • If you want and your project allows you to, you can 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 report
• 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 report who did what.

Topics

We presented our suggested projects during the project fair:

Topics can be chosen from HERE. However, feel free to suggest a project that motivates you.

Confirmed teams can be seen >>>Here under Projects sheet<<<

From >>HERE<< you can choose a topic during project fair.

Submissions

2. Home work 2 - Data analysis 6. Homework 6- Artificial neural networks 7. Project - Check point 1 8. Project - Check point 2 9. Project - Check point 3 10. Project - Final Submission