Package: leabRa 0.1.0.9000

Johannes Titz

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>.

Authors:Johannes Titz [aut, cre, cph], Sergio Verduzco-Flores [cph], Randall O'Reilly [cph]

leabRa_0.1.0.9000.tar.gz
leabRa_0.1.0.9000.zip(r-4.5)leabRa_0.1.0.9000.zip(r-4.4)leabRa_0.1.0.9000.zip(r-4.3)
leabRa_0.1.0.9000.tgz(r-4.4-any)leabRa_0.1.0.9000.tgz(r-4.3-any)
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leabRa.pdf |leabRa.html
leabRa/json (API)

# Install 'leabRa' in R:
install.packages('leabRa', repos = c('https://johannes-titz.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/johannes-titz/leabra/issues

Datasets:
  • animals - Small example data set for self-organized artificial neural networks

On CRAN:

4.00 score 2 stars 5 scripts 428 downloads 3 exports 3 dependencies

Last updated 7 years agofrom:237bc5c67c. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winOKOct 30 2024
R-4.4-macOKOct 30 2024
R-4.3-winOKOct 30 2024
R-4.3-macOKOct 30 2024

Exports:layernetworkunit

Dependencies:plyrR6Rcpp

LeabRa: Biologically realistic neural networks based on Leabra in R

Rendered fromleabRa.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2017-09-19
Started: 2017-09-19