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 |
| Reference manual: | motoRneuron.pdf |
| Vignettes: |
motoRneuron |
| 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: motoRneuron_1.0.0.tgz, r-oldrel: motoRneuron_1.0.0.tgz |
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