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>.

Getting started

Package details

Maintainer
LicenseGPL-2
Version0.1.0.9000
URL https://github.com/johannes-titz/leabRa
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("johannes-titz/leabRa")
johannes-titz/leabRa documentation built on Sept. 26, 2017, 5:34 a.m.