71 search results - page 6 / 15 » A Neural Model for Context-dependent Sequence Learning |
NN
2010
Springer
13 years 5 months ago
2010
Springer
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
ECAI
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
ICANN
2005
Springer
14 years 27 days ago
2005
Springer
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
EELC
2006
13 years 11 months ago
2006
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...