Introduction to Computational Neuroscience 2019/20 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

• 10.09: 01. Brain structure.
  • Deadline: 18.09.2019- 23:59:59.
• 24.09: 02. Data Analysis.
  • Deadline: 02.10.2019 23:59:59.
• 01.10: 03. Data Analysis II: Machine Learning.
  • Deadline: 09.10.2019 23:59:59.
• 08.10: 04. Single Neuron Models
  • Deadline: 16.10.2019 23:59:59.
• 15.10: No practice session.
• 22.10: 05. Neuron Network Models
  • Deadline: 30.10.2019 23:59:59.
• 29.10: 06. Artificial Neural Networks
  • Deadline: 06.11.2019 23:59:59.
• 05.11: Project Fair.

Submission