Introduction to Computational Neuroscience 2018/19 fall

Practices

We will use Python with jupyter notebooks in the practice sessions. You can find a nice tutorial here:

http://cs231n.github.io/python-numpy-tutorial/

Setup the environment
The home works will use jupyter notebooks and to be able to open and interact with them locally you need to follow these steps:

• First install conda
• Create the environment:
  • Open conda terminal (only for windows users)
  • conda create -n Py3_ICNS python=3 matplotlib jupyter numpy pandas
  • Activate the environment
    • Windows: activate Py3_ICNS
    • Linux: source activate Py3_ICNS
  • Go to homework directory in terminal
  • Execute jupyter notebook

Github repo:
You can find practical session exercises from last year and new tasks from this year in the following Github repository.

Dates and times

A new practice will be added every week

• 04.09: Lecture, not practice session
• 11.09: 01. Brain structure
  • TED: Sebastian Seung "I am my connectome"
  • http://neuromorpho.org
  • Deadline: 19.09.2018- 23:59:59.
• 18.09: 02. Data Analysis.
  • Deadline: 26.09.2018 23:59:59.
• 25.09: 03. Data Analysis II: Machine Learning.
  • Deadline: 03.10.2018 23:59:59.
• 02.10: 04. Single Neuron Models
  • Deadline: 10.10.2018 23:59:59.
• 09.10: Answering questions (no new home work)
  • Visit to EEG, fNIRS Lab at Psychology Department of University of Tartu
• 16.10: 05. Neuron Network Models
  • Deadline: 24.10.2018 23:59:59.
• 23.10: 06. Artificial Neural Networks
  • Deadline: 31.10.2018 23:59:59.

Submission