.. hdnet documentation master file, created by
   sphinx-quickstart on Wed Feb  4 18:40:09 2015.
   felix effenberger, jan 2015

hdnet |version| manual
======================

`hdnet` stands for Hopfield denoising network. It is a Python package
for analysis of neural population spiking data, i.e. parallel spike trains.

In particular, it provides a novel method for finding and extracting
salient low-dimensional representations of the dynamics of populations
of spiking neurons based on a denoising approach to spatiotemporal
patterns (STP) contained in the data.

An always up-to-date online-version of the documentation can be obtained
at

`http://team-hdnet.github.io/hdnet/ <http://team-hdnet.github.io/hdnet/>`_

This manual also can be :download:`downloaded in a PDF version </hdnet.pdf>`

Contents:

.. toctree::
   :includehidden:
   :maxdepth: 3

   introduction.rst
   installation.rst
   citing.rst
   background.rst
   example_basic.rst
   example_sequence.rst
   hdnet.rst
   bibliography.rst

Indices and tables
==================

* :ref:`bibliography`
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`