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Multi-unit Van Rossum spike train metric

Project description


build status PyPI version digital object identifier (DOI)

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.


Full documentation (with examples and full reference) is hosted at


  • 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).


To install the latest release, run:

pip install pymuvr


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

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Source code for pymuvr is hosted at

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pymuvr-1.3.3.tar.gz (62.7 kB view hashes)

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