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» Learning nonlinear dynamic models
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BC
2000
95views more  BC 2000»
13 years 8 months ago
Cerebellar learning of accurate predictive control for fast-reaching movements
Long conduction delays in the nervous system prevent the accurate control of movements by feedback control alone. We present a new, biologically plausible cerebellar model to study...
Jacob Spoelstra, Nicolas Schweighofer, Michael A. ...
RECOMB
2009
Springer
14 years 9 months ago
Parameter Synthesis in Nonlinear Dynamical Systems: Application to Systems Biology
The dynamics of biological processes are often modeled as systems of nonlinear ordinary differential equations (ODE). An important feature of nonlinear ODEs is that seemingly minor...
Alexandre Donzé, Gilles Clermont, Axel Lega...
CORR
2010
Springer
102views Education» more  CORR 2010»
13 years 8 months ago
Error Analysis of Approximated PCRLBs for Nonlinear Dynamics
In practical nonlinear filtering, the assessment of achievable filtering performance is important. In this paper, we focus on the problem of how to efficiently approximate the post...
Ming Lei, Pierre Del Moral, Christophe Baehr
CMSB
2011
Springer
12 years 8 months ago
The singular power of the environment on stochastic nonlinear threshold Boolean automata networks
Abstract. This paper tackles theoretically the question of the structural stability of biological regulation networks subjected to the influence of their environment. The model of...
Jacques Demongeot, Sylvain Sené
ICML
2004
IEEE
14 years 9 months ago
Generative modeling for continuous non-linearly embedded visual inference
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
Cristian Sminchisescu, Allan D. Jepson