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BMCBI
2007
101views more  BMCBI 2007»
15 years 7 months ago
Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors
Background: The size and magnitude of the metabolome, the ratio between individual metabolites and the response of metabolic networks is controlled by multiple cellular factors. A...
Frank Kose, Jan Budczies, Matthias Holschneider, O...
JNW
2006
68views more  JNW 2006»
15 years 7 months ago
Quick Local Repair Scheme using Adaptive Promiscuous Mode in Mobile Ad Hoc Networks
In mobile ad hoc networks (MANETs), there is frequently disconnected a route consisting of multi-hop from a source to a destination because of the dynamic nature such as the topolo...
Joo Sang Youn, Jihoon Lee, Doo-Hyun Sung, Chul-Hee...
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BC
2002
193views more  BC 2002»
15 years 7 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon
JCNS
1998
134views more  JCNS 1998»
15 years 7 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez
BMCBI
2011
14 years 11 months ago
Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks v
Background: Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the gen...
Jacek Sroka, Lukasz Bieniasz-Krzywiec, Szymon Gwoz...
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