Introduction to Computational Neuroscience (MTAT.03.291)
Lectures: Mondays 14:15, Liivi 2 - 207
Practices: Tuesdays 12:15, Liivi 2 - 004
Questions:
- Raul Vicente (raulvicente@gmail.com)
- Ilya Kuzovkin (ilya.kuzovkin@gmail.com)
- http://neuro.cs.ut.ee
Mailing list: aine.ati.neuro@lists.ut.ee
- Course announcements, discussions and updates will appear in this list. Please add yourself there.
About the course
Purpose of this course is to familiarize students without biological background with the field of neuroscience and study how mathematics and computer science are used to solve questions arising in this field. The following topics will be covered during the course:
- Basic organization of the brain and nervous system
- Approaches to explore the brain
- Data analysis
- Single neuron models
- Network models
- Learning and plasticity
- Memory
- Cognitive functions
In the practice sessions we are going to
- Try out concepts discussed on the lectures
- Solve exercises from the field
- Analyse data using Matlab/Octave
- Conduct demonstations/experiments
Grading
Points: Introduction to Computational Neuroscience 2015S
Your final grade will consist of:
- Homework assignments (40%)
- Project (30%)
- Exam (30%)
- And bonus exercices (10%)
You can collect up to 110 points, 90+ will give you A, 80+ B, 70+ C and so on.
Materials
Course materials and more are available at Github repository