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Neuronal Dynamics: Python Exercises

This repository contains python exercises accompanying the book Neuronal Dynamics by Wulfram Gerstner, Werner M. Kistler, Richard Naud and Liam Paninski. References to relevant chapters will be added in the Teaching Materials section of the book homepage.

Exercises & Documentation

The full documentation and the exercises can be found at readthedocs.

Quickstart

To install the exercises using pip simply execute:

pip install --upgrade neurodynex

To install the exercises with anaconda/miniconda execute:

conda install -c brian-team -c epfl-lcn neurodynex

Brian1

This (master) branch is a rewrite of all python exercises for the more recent Brian2 Simulator. The old exercises using brian1 are still available on the brian1 branch.

License

This free software: you can redistribute it and/or modify it under the terms of the GNU General Public License 2.0 as published by the Free Software Foundation. You should have received a copy of the GNU General Public License along with the repository. If not, see http://www.gnu.org/licenses/.

Should you reuse and publish the code for your own purposes, please point to the webpage http://neuronaldynamics.epfl.ch or cite the book: Wulfram Gerstner, Werner M. Kistler, Richard Naud, and Liam Paninski. Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition. Cambridge University Press, 2014.

Contributors (alphabetically)

• Parima Ahmadipouranari (LCN, EPFL)
• Bernd Illing (LCN, EPFL)
• Marco Lehmann (LCN, EPFL)
• Alexander Seeholzer (LCN, EPFL)
• Hesam Setareh (LCN, EPFL)
• Lorric Ziegler (LCN, EPFL)