leabRa: The Artificial Neural Networks Algorithm Leabra

The algorithm Leabra (local error driven and associative biologically realistic algorithm) allows for the construction of artificial neural networks that are biologically realistic and balance supervised and unsupervised learning within a single framework. This package is based on the 'MATLAB' version by Sergio Verduzco-Flores, which in turn was based on the description of the algorithm by Randall O'Reilly (1996) <ftp://grey.colorado.edu/pub/oreilly/thesis/oreilly_thesis.all.pdf>. For more general (not 'R' specific) information on the algorithm Leabra see <https://grey.colorado.edu/emergent/index.php/Leabra>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: plyr (≥ 1.8.4), R6 (≥ 2.2.1)
Suggests: knitr, rmarkdown
Published: 2017-09-22
Author: Johannes Titz [aut, cre, cph], Sergio Verduczo-Flores [cph], Randall O'Reilly [cph]
Maintainer: Johannes Titz <johannes.titz at gmail.com>
BugReports: https://github.com/johannes-titz/leabRa/issues
License: GPL-2
URL: https://github.com/johannes-titz/leabRa
NeedsCompilation: no
CRAN checks: leabRa results


Reference manual: leabRa.pdf
Vignettes: LeabRa: Biologically realistic neural networks based on Leabra in R
Package source: leabRa_0.1.0.tar.gz
Windows binaries: r-devel: leabRa_0.1.0.zip, r-release: leabRa_0.1.0.zip, r-oldrel: leabRa_0.1.0.zip
OS X El Capitan binaries: r-release: leabRa_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: leabRa_0.1.0.tgz


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