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NC
2010
150views Neural Networks» more  NC 2010»
13 years 5 months ago
Deterministic and stochastic P systems for modelling cellular processes
This paper presents two approaches based on metabolic and stochastic P systems, together with their associated analysis methods, for modelling biological systems and illustrates th...
Marian Gheorghe, Vincenzo Manca, Francisco Jos&eac...
ACTA
2004
87views more  ACTA 2004»
13 years 7 months ago
P systems with symport/antiport simulating counter automata
The generative capability of several variants of P systems with symport/antiport is studied via the simulation of counter automata. This leads to the reduction of the complexity, e...
Pierluigi Frisco, Hendrik Jan Hoogeboom
CSB
2005
IEEE
124views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Multi-Scale Hierarchical Structure Prediction of Helical Transmembrane Proteins
As the first step toward a multi-scale, hierarchical computational approach for membrane protein structure prediction, the packing of transmembrane helices was modeled at the resi...
Zhong Chen, Ying Xu
ENTCS
2008
120views more  ENTCS 2008»
13 years 7 months ago
Stochastic Bigraphs
In this paper we present a stochastic semantics for Bigraphical Reactive Systems. A reduction and a labelled stochastic semantics for bigraphs are defined. As a sanity check, we p...
Jean Krivine, Robin Milner, Angelo Troina
ESANN
2006
13 years 8 months ago
Saliency extraction with a distributed spiking neural network
We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
Sylvain Chevallier, Philippe Tarroux, Hél&e...