Skip to main content

Python exercises accompanying the book Neuronal Dynamics by Wulfram Gerstner, Werner M. Kistler, Richard Naud and Liam Paninski.

Project description

Build Status Doc Status Conda Repo

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

We are currently rewriting the python exercises to use the more recent Brian2 Simulator. The old brian1 exercises are 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

neurodynex-0.1.0.tar.gz (22.7 kB view details)

Uploaded Source

Built Distribution

neurodynex-0.1.0-py2.py3-none-any.whl (24.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file neurodynex-0.1.0.tar.gz.

File metadata

  • Download URL: neurodynex-0.1.0.tar.gz
  • Upload date:
  • Size: 22.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for neurodynex-0.1.0.tar.gz
Algorithm Hash digest
SHA256 91c138189990c81949f3796fbe257cc836f2ebb1d8436aee8f6f2d7551896cfa
MD5 6bdfaac2c9c7fdefef8108b1504008be
BLAKE2b-256 b360dac777d54863b383d2f79fc1cd96c026229f166b5b26c2fee5d0b2b17ddf

See more details on using hashes here.

File details

Details for the file neurodynex-0.1.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for neurodynex-0.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 619cc3468972204bb4f1294df6db4aac4efe12e82ed6b3cabf1cf1b033949117
MD5 6a10879f275483728033a4dfc9ee18a2
BLAKE2b-256 5caf648b151fd26b4ce05c8a2333912e6bd7a6e99f4c82a5d27ae345b64c0eed

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page