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» Multi-dimensional Recurrent Neural Networks
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IJCNN
2006
IEEE
14 years 3 months ago
Reservoir-based techniques for speech recognition
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
David Verstraeten, Benjamin Schrauwen, Dirk Stroob...
ESANN
2008
13 years 11 months ago
Pruning and Regularisation in Reservoir Computing: a First Insight
Reservoir Computing is a new paradigm for using Recurrent Neural Networks which shows promising results. However, as the recurrent part is created randomly, it typically needs to b...
Xavier Dutoit, Benjamin Schrauwen, Jan M. Van Camp...
JIFS
2002
60views more  JIFS 2002»
13 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...
JMLR
2002
133views more  JMLR 2002»
13 years 9 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
ESANN
2004
13 years 11 months ago
Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony
To emphasize the electrical nature of information processing in the brain we use a compartmental model of single neurons. The realistic simulation of wave-like activity in the recu...
Karsten Kube, Andreas Herzog, Vadym Spravedlyvyy, ...