motoRneuron: Analyzing Paired Neuron Discharge Times for Time-Domain Synchronization

The temporal relationship between motor neurons can offer explanations for neural strategies. We combined functions to reduce neuron action potential discharge data and analyze it for short-term, time-domain synchronization. Even more so, motoRneuron combines most available methods for the determining cross correlation histogram peaks and most available indices for calculating synchronization into simple functions. See Nordstrom, Fuglevand, and Enoka (1992) <doi:10.1113/jphysiol.1992.sp019244> for a more thorough introduction.

Version:	1.0.0
Depends:	R (≥ 3.3), ggplot2, dygraphs
Imports:	stats (≥ 3.4.1), methods
Suggests:	knitr, rmarkdown, testthat
Published:	2019-02-26
Author:	Andrew Tweedell [aut, cre], Matthew Tenan [aut]
Maintainer:	Andrew Tweedell <atweedell315 at gmail.com>
BugReports:	http://github.com/tweedell/motoRneuron/issues
License:	GPL-2
URL:	http://github.com/tweedell/motoRneuron
NeedsCompilation:	no
Materials:	README
CRAN checks:	motoRneuron results

Documentation:

Reference manual:	motoRneuron.pdf
Vignettes:	motoRneuron

Downloads:

Package source:	motoRneuron_1.0.0.tar.gz
Windows binaries:	r-devel: motoRneuron_1.0.0.zip, r-release: motoRneuron_1.0.0.zip, r-oldrel: motoRneuron_1.0.0.zip
macOS binaries:	r-release (arm64): motoRneuron_1.0.0.tgz, r-oldrel (arm64): motoRneuron_1.0.0.tgz, r-release (x86_64): motoRneuron_1.0.0.tgz, r-oldrel (x86_64): motoRneuron_1.0.0.tgz

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