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Project Description

Overview

A Python package for the fast calculation of Multi-unit Van Rossum neural spike train metrics, with the kernel-based algorithm described in Houghton and Kreuz, On the efficient calculation of Van Rossum distances (Network: Computation in Neural Systems, 2012, 23, 48-58). This package started out as a Python wrapping of the original C++ implementation given by the authors of the paper, and evolved from there with bugfixes and improvements.

Documentation

Full documentation (with examples and full reference) is hosted at http://pymuvr.readthedocs.org/.

Requirements

  • Python 2.7 or 3.x.
  • NumPy>=1.7.
  • C++ development tools and Standard Library (package build-essential on Debian).
  • Python development tools (package python-dev on Debian).

Installation

To install the latest release, run:

pip install pymuvr

License

This package is licensed under version 3 of the GPL or any later version. See COPYING for details.

Getting the source

Source code for pymuvr is hosted at https://github.com/epiasini/pymuvr.

Release History

Release History

1.3.3

This version

History Node

TODO: Figure out how to actually get changelog content.

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1.3.2

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1.3.0

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Changelog content for this version goes here.

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1.2.0

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1.1.0

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1.0.1

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1.0

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pymuvr-1.3.3.tar.gz (62.7 kB) Copy SHA256 Checksum SHA256 Source Nov 7, 2016

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