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» State dependent computation using coupled recurrent networks
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JIFS
2002
60views more  JIFS 2002»
14 years 9 months ago
Turing's analysis of computation and artificial neural networks
A novel way to simulate Turing Machines (TMs) by Artificial Neural Networks (ANNs) is proposed. We claim that the proposed simulation is in agreement with the correct interpretatio...
Wilson Rosa de Oliveira, Marcílio Carlos Pe...
COMPLIFE
2006
Springer
15 years 1 months ago
A New Approach to Flux Coupling Analysis of Metabolic Networks
Flux coupling analysis is a method to identify blocked and coupled reactions in a metabolic network at steady state. We present a new approach to flux coupling analysis, which uses...
Abdelhalim Larhlimi, Alexander Bockmayr
SOFSEM
2004
Springer
15 years 3 months ago
Approaches Based on Markovian Architectural Bias in Recurrent Neural Networks
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
Matej Makula, Michal Cernanský, Lubica Benu...
NECO
2007
115views more  NECO 2007»
14 years 9 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
IJBC
2007
77views more  IJBC 2007»
14 years 10 months ago
Stability Computations for Nilpotent Hopf bifurcations in Coupled Cell Systems
Vanderbauwhede and van Gils, Krupa, and Langford studied unfoldings of bifurcations with purely imaginary eigenvalues and a nonsemisimple linearization, which generically occurs i...
M. Golubitsky, M. Krupa