Multi-unit Van Rossum spike train metric
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 http://pymuvr.readthedocs.org/.
- Python 2.7 or 3.x.
- C++ development tools and Standard Library (package
- Python development tools (package
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.
Getting the source
Source code for pymuvr is hosted at https://github.com/epiasini/pymuvr.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|pymuvr-1.3.0.linux-x86_64.tar.gz (133.3 kB) Copy SHA256 Checksum SHA256||–||Source||Nov 7, 2016|
|pymuvr-1.3.0.tar.gz (62.9 kB) Copy SHA256 Checksum SHA256||–||Source||Jan 7, 2015|