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>.


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Reference manual

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install.packages("leabRa")

0.1.0 by Johannes Titz, 2 years ago


https://github.com/johannes-titz/leabRa


Report a bug at https://github.com/johannes-titz/leabRa/issues


Browse source code at https://github.com/cran/leabRa


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


Documentation:   PDF Manual  


GPL-2 license


Imports plyr, R6

Suggests knitr, rmarkdown


See at CRAN