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BMCBI
2008
146views more  BMCBI 2008»
13 years 9 months ago
A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
Chang Sik Kim, Cheol Soo Bae, Hong Joon Tcha
JCNS
2007
89views more  JCNS 2007»
13 years 8 months ago
Synchronous and asynchronous bursting states: role of intrinsic neural dynamics
Brain signals such as local field potentials often display gamma-band oscillations (30–70 Hz) in a variety of cognitive tasks. These oscillatory activities possibly reflect sy...
Takashi Takekawa, Toshio Aoyagi, Tomoki Fukai
ICARCV
2008
IEEE
193views Robotics» more  ICARCV 2008»
14 years 3 months ago
Analysis of discrete and hybrid stochastic systems by nonlinear contraction theory
—We investigate the stability properties of discrete and hybrid stochastic nonlinear dynamical systems. More precisely, we extend the stochastic contraction theorems (which were ...
Quang-Cuong Pham
ISCAS
2006
IEEE
118views Hardware» more  ISCAS 2006»
14 years 2 months ago
Complex network topologies and synchronization
Synchronization in networks with different topolo- is shown that for typical systems only three main scenarios gies is studied. We show that for a large class of oscillators there ...
Paolo Checco, Mario Biey, Gábor Vattay, Lju...
CORR
2006
Springer
113views Education» more  CORR 2006»
13 years 8 months ago
Decentralized Maximum Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems
Abstract--In this paper, we propose a decentralized sensor network scheme capable to reach a globally optimum maximum-likelihood (ML) estimate through self-synchronization of nonli...
Sergio Barbarossa, Gesualdo Scutari