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ISCAS
2006
IEEE
100views Hardware» more  ISCAS 2006»
15 years 3 months ago
Dynamic control of spinal locomotion circuits
We show that an ongoing locomotor pattern can that the physiology of the lamprey's spinal system generalizes to be modulated by application of discrete electrical stimuli to l...
R. Jacob Vogelstein, Ralph Etienne-Cummings, Nitis...
ENGL
2006
135views more  ENGL 2006»
14 years 9 months ago
An Integral Plus States Adaptive Neural Control of Aerobic Continuous Stirred Tank Reactor
A direct adaptive neural network control system with and without integral action term is designed for the general class of continuous biological fermentation processes. The control...
Ieroham S. Baruch, Petia Georgieva, Josefina Barre...
IEEEMSP
2002
IEEE
166views Multimedia» more  IEEEMSP 2002»
15 years 2 months ago
Medium access control with channel state information for large sensor networks
Abstract—Traditionally, random access protocols have been designed and studied by assuming simple models for the physical layer. We introduce a reception model that incorporates ...
Srihari Adireddy, Lang Tong
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...