Metadata-Version: 2.1
Name: quickspikes
Version: 1.3.9
Summary: detect and extract spikes in time series data
Home-page: http://github.com/melizalab/quickspikes
Author: Dan Meliza
Maintainer: Dan Meliza
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Natural Language :: English
License-File: COPYING
Requires-Dist: numpy (>=1.19.5)


This is a very basic but very fast window discriminator for detecting and
extracting spikes in a time series. It was developed for analyzing extracellular
neural recordings, but also works with intracellular data and probably many
other kinds of time series.


