1. Setting up Python and Brian¶
To solve the exercises you need to install Python, Brian2 and the neurodynex package. The installation procedure we described here focuses on the tools we use in the classroom sessions at EPFL. For that reason we additionally set up a conda environment (which we call bmnn below) and install Jupyter .
1.1. Using miniconda (recommended)¶
We offer anaconda packages for the most recent releases, which is the easiest way of running the exercises.
Head over to the miniconda download page and install miniconda (for Python 2.7 preferably).
Now execute the following commands to install the exercise package as well as Brian2 and some dependencies. Note: we create a conda environment called ‘bmnn’. You may want to change that name. In the last command we install Jupyter , a handy tool to create solution documents.
>> conda create --name bmnn python=2.7 >> source activate bmnn >> conda install -c brian-team -c epfl-lcn neurodynex >> conda install jupyter
If you need to update the exercise package, call:
>> source activate bmnn >> conda update -c brian-team -c epfl-lcn neurodynex
You now have the tools you need to solve the python exercises. To get started, open a terminal, move to the folder where you want your code being stored and start a Jupyter notebook:
>> cd your_folder >> source activate bmnn >> jupyter notebook
We recommend you to create one notebook per exercise.
Trouble shooting: You may get errors like ‘No module named ‘neurodynex’. This is the case when your jupyter notebook does not see the packages you’ve just installed. As a solution, try to re-install jupyter within the environment: .. code-block:
>> source activate bmnn >> conda install jupyter
1.2. Alternative procedure: Using python and pip¶
If you already have Python installed and prefer using PIP, you can get the most recent versions of this repository as a pypi package called
To install the exercises using
pip simply execute (the
--upgrade flag will overwrite existing installations with the newest versions):
pip install --upgrade jupyter pip install --upgrade neurodynex
Should you want to run Spyder to work on the exercises, and you’re running into problems (commonly, after running
conda install spyder you can not start
spyder due to an error related to numpy), try the following:
# create a new conda environment with spyder and the exercises conda create --name neurodynex -c brian-team -c epfl-lcn neurodynex spyder # activate the environment source activate neurodynex
This creates a new conda environment (here is more information on conda environments) in which you can use spyder together with the exercises.