Skip to main content

A general-purpose neural simulator focusing on topographic maps.

Project description

`Topographica`_ is a software package for computational modeling of
neural maps. The goal is to help researchers understand brain function
at the level of the topographic maps that make up sensory and motor
systems.

Please see http://topographica.org/ for more information.

Installation
============

Please see http://topographica.org/Downloads for more complete
instructions; a brief summary for installation into an existing
Python environment is given here.

If you have `pip`_, you can use one of
those to install Topographica and its dependencies automatically
(e.g. ``pip install topographica``).

Alternatively, you can download and unpack the archive below, and then
install Topographica with a command like ``python setup.py install``
(e.g. ``sudo python setup.py install`` for a site-wide installation,
or ``python setup.py install --user`` to install into
``~/.local``). You will need to install at least `NumPy`_, `Pillow`_ (or `PIL`_),
`Param`_, `ParamTk`_, and `ImaGen`_, before running Topographica. We
also recommend that you install `MatPlotLib`_ so you can access all
Topographica's plots, as well as `GmPy`_ and Weave (available as part
of `SciPy`_) for optimum performance.

.. _Topographica:
http://topographica.org/Home/
.. _NumPy:
http://pypi.python.org/pypi/numpy
.. _Gmpy:
http://pypi.python.org/pypi/gmpy
.. _SciPy:
http://pypi.python.org/pypi/scipy
.. _MatPlotLib:
http://pypi.python.org/pypi/matplotlib
.. _Pillow:
http://pypi.python.org/pypi/pillow
.. _PIL:
http://pypi.python.org/pypi/PIL
.. _pip:
http://pip.openplans.org/

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

topographica-0.9.8-1.tar.gz (1.7 MB view details)

Uploaded Source

File details

Details for the file topographica-0.9.8-1.tar.gz.

File metadata

File hashes

Hashes for topographica-0.9.8-1.tar.gz
Algorithm Hash digest
SHA256 50de9a48c238865516e0fe60c162341fd0fd94a07d840444088893224bde561b
MD5 d2180220633931e9185b11a9fb7de618
BLAKE2b-256 3ead62b79f8b87da3705310e462e2cdaf893a30e7df9cb55cf5f2fb58ec3356c

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