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IJCNN
2006
IEEE
14 years 1 months ago
Event modeling of message interchange in stochastic neural ensembles
— We propose a modeling framework based on the event-driven paradigm for populations of neurons which interchange messages. Unlike other strategies our approach is focused on the...
Vicenç Gómez, Andreas Kaltenbrunner,...
CCE
2007
13 years 7 months ago
Water networks security: A two-stage mixed-integer stochastic program for sensor placement under uncertainty
This work describes a stochastic approach for the optimal placement of sensors in municipal water networks to detect maliciously injected contaminants. The model minimizes the exp...
Vicente Rico-Ramírez, Sergio Frausto-Hern&a...
TSMC
2008
89views more  TSMC 2008»
13 years 7 months ago
A Probabilistic Wavelet System for Stochastic and Incomplete Data-Based Modeling
A probabilistic wavelet system (PWS) is proposed to model the unknown dynamic system with stochastic and incomplete data. When compared with the traditional wavelet system, the PWS...
Zhi Liu, Han-Xiong Li, Yun Zhang
BC
2007
77views more  BC 2007»
13 years 7 months ago
Deterministic analysis of stochastic bifurcations in multi-stable neurodynamical systems
Many perceptual and cognitive processes, like decision-making and bistable perception, involve multistable phenomena under the influence of noise. The role of noise in a multistab...
Gustavo Deco, Daniel Martí
BMCBI
2010
104views more  BMCBI 2010»
13 years 7 months ago
Formal reasoning on qualitative models of coinfection of HIV and Tuberculosis and HAART therapy
Background: Several diseases, many of which nowadays pandemic, consist of multifactorial pathologies. Paradigmatic examples come from the immune response to pathogens, in which ca...
Anil Sorathiya, Andrea Bracciali, Pietro Liò...