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» Neural Dynamics with Stochasticity
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NECO
2007
74views more  NECO 2007»
15 years 5 months ago
Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons
An ensemble of stochastic non-leaky integrate-and-fire neurons with global, delayed and excitatory coupling and a small refractory period is analyzed. Simulations with adiabatic ...
Andreas Kaltenbrunner, Vicenç Gómez,...
CDC
2009
IEEE
110views Control Systems» more  CDC 2009»
15 years 4 months ago
Perturbation analysis and optimization of multiclass multiobjective Stochastic Flow Models
Stochastic Flow Models (SFMs) are stochastic ystems that abstract the dynamics of complex discrete event systems involving the control of sharable resources. SFMs have been used to...
Chen Yao, Christos G. Cassandras
CMSB
2011
Springer
14 years 6 months ago
Coloured stochastic multilevel multiset rewriting
From the phosphorylation state of a molecule to the volume of a cell, parameters are ubiquitous in systems biology. At the same time, most models involve static or dynamic compart...
Nicolas Oury, Gordon D. Plotkin
BMCBI
2006
179views more  BMCBI 2006»
15 years 6 months ago
Multiscale Hy3S: Hybrid stochastic simulation for supercomputers
Background: Stochastic simulation has become a useful tool to both study natural biological systems and design new synthetic ones. By capturing the intrinsic molecular fluctuation...
Howard Salis, Vassilios Sotiropoulos, Yiannis N. K...
EUSFLAT
2003
15 years 7 months ago
Stability of backpropagation learning rule
A control of real processes requires different approach to neural network learning. The presented modification of backpropagation learning algorithm changes a meaning of learning...
Petr Krupanský, Petr Pivoñka, Jiri D...