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Multi-unit Van Rossum spike train metric

Project description

Overview

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.

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.

Project details


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This version
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1.3.3

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1.3.2

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1.3.0

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1.1.0

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1.0.1

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1.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
pymuvr-1.3.3.tar.gz (62.7 kB) Copy SHA256 hash SHA256 Source None Nov 7, 2016

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