Sissejuhatus arvutuslikku neuroteadusesse 2017/18 kevad

Practices

We will mainly use Matlab/Octave in the practice sessions. You can find nice video tutorials here:

Octave: https://www.coursera.org/learn/machine-learning/lecture/9fHfl/basic-operations

Matlab: https://www.coursera.org/learn/machine-learning/supplement/Mlf3e/more-octave-matlab-resources

Solutions presented in python are also accepted, simply there will be some helpful code provided for you in Matlab/Octave

GitHub repo:
You can find practical session exercises from last year and new tasks from this year in there.
https://github.com/NeuroCSUT/Computational-Neuroscience-Course/

Dates and times A new practice will be added every week

• 13.02: Lecture, not practice session
• 20.02: 01. Brain structure
  • TED: Sebastian Seung "I am my connectome"
  • http://neuromorpho.org
  • Deadline: 28/02/2018- 23:59:59.
• 27.02: Answering questions (no new home work)
  • Visit to EEG, fNIRS Lab at Psychology Department of University of Tartu
• 06.03: 02. Data Analysis.
  • Deadline: 14.03.2018 23:59:59.
• 13.03: 03. Data Analysis II: Machine Learning.
  • Deadline: 21.03.2018 23:59:59.
• 20.03 04. Single Neuron Models
  • Deadline: 28.03.2018 23:59:59.
• 27.03 05. Neuron Network Models
  • Deadline: 04.04.2018 23:59:59.
• 03.04 Homework QA.
• 10.04 Projects QA.
• 17.04 Projects QA.
• 23.04 Projects QA (switched with lecture).
• 01.05 University Holiday.
• 08.05 Projects QA.
• 15.05 Projects QA.
• 22.05 Projects QA.
• 29.05 Projects QA.

Submission