c(person("Marijke", "Welvaert", role = c("aut"),
email = "marijke.welvaert@gmail.com"),
person("Joke", "Durnez", role = c("ctb")),
person("Beatrijs", "Moerkerke", role = c("ctb")),
person("Yves", "Rosseel", role = c("ctb")),
person("Karsten", "Tabelow", role = c("ctb", "cre"),
email = "karsten.tabelow@wias-berlin.de"),
person("Geert", "Verdoolaege", role = c("ctb")))
Generates functional Magnetic Resonance Imaging (fMRI)
time series or 4D data. Some high-level
functions are created for fast data generation with only
a few arguments and a diversity of functions to define
activation and noise. For more advanced users it is possible
to use the low-level functions and manipulate the arguments.
See Welvaert et al. (2011) <doi:10.18637/jss.v044.i10>.
Marijke Welvaert [aut],
Joke Durnez [ctb],
Beatrijs Moerkerke [ctb],
Yves Rosseel [ctb],
Karsten Tabelow [ctb, cre],
Geert Verdoolaege [ctb]

RBF and MLP neural networks with graphical user interface

Stefan Fritsch <fritsch@bips.uni-bremen.de>,  Frauke Guenther <guenther@bips.uni-bremen.de>, following earlier work by Marc Suling <suling@bips.uni-bremen.de>
Training of neural networks using the Resilient Backpropagation with (Riedmiller, 1994) or without Weightbacktracking (Riedmiller, 1993) or the modified globally convergent version by Anastasiadis et. al. (2005). The package allows flexible settings through custom-choice of error- and activation-function. Furthermore the calculation of generalized weights (Intrator O & Intrator N, 1993) is implemented.

Stefan Fritsch <fritsch@bips.uni-bremen.de>, Frauke Guenther
<guenther@bips.uni-bremen.de>, following earlier work by Marc
Suling <suling@bips.uni-bremen.de>
Training of neural networks using backpropagation,
resilient backpropagation with (Riedmiller, 1994) or without
weight backtracking (Riedmiller and Braun, 1993) or the
modified globally convergent version by Anastasiadis et al.
(2005). The package allows flexible settings through
custom-choice of error and activation function. Furthermore,
the calculation of generalized weights (Intrator O & Intrator
N, 1993) is implemented.