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 |
| macOS binaries: | r-release: leabRa_0.1.0.tgz, r-oldrel: leabRa_0.1.0.tgz |
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