{ "info": { "author": "Eugenio Piasini", "author_email": "e.piasini@ucl.ac.uk", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Scientific/Engineering" ], "description": "pymuvr\n======\n\nOverview\n--------\n|status| |pipy_version| |doi|\n\nA Python package for the fast calculation of Multi-unit Van Rossum\nneural spike train metrics, with the kernel-based algorithm described\nin Houghton and Kreuz, *On the efficient calculation of Van Rossum\ndistances* (Network: Computation in Neural Systems, 2012, 23,\n48-58). This package started out as a Python wrapping of the original\nC++ implementation given by the authors of the paper, and evolved from\nthere with bugfixes and improvements.\n\nDocumentation\n-------------\n\nFull documentation (with examples and full reference) is hosted at\nhttp://pymuvr.readthedocs.org/.\n\nRequirements\n------------\n- Python 2.7 or 3.x.\n- NumPy>=1.7.\n- C++ development tools and Standard Library (package `build-essential` on Debian).\n- Python development tools (package `python-dev` on Debian).\n\nInstallation\n------------\nTo install the latest release, run::\n\n pip install pymuvr\n\nLicense\n-------\nThis package is licensed under version 3 of the GPL or any later\nversion. 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