activity
19942022
most citedAstrocytes: orchestrating synaptic plasticity?

270 citations · 842 across the 21 of their papers we have counts for

collaborators
Showing stat.MEShow all

6 papers · 1 filter

stat.ME2022★ 2 cited

Curvature and Torsion estimation of 3D functional data: A geometric approach to build the mean shape under the Frenet Serret framework

Juhyun Park, Nicolas Brunel, Perrine Chassat

The analysis of curves has been routinely dealt with using tools from functional data analysis. However its extension to multi-dimensional curves poses a new challenge due to its i…

stat.ME2019

Mean curvature and mean shape for multivariate functional data under Frenet-Serret framework

Juhyun Park, Nicolas J-B. Brunel

The analysis of curves has been routinely dealt with using tools from functional data analysis. However its extension to multi-dimensional curves poses a new challenge due to its i…

stat.ME2016★ 2 cited

Constrained Nonlinear and Mixed Effects Differential Equation Models for Dynamic Cell Polarity Signaling

Zhen Xiao, Nicolas Brunel, Zhenbiao Yang +1

The key of tip growth in eukaryotes is the polarized distribution on plasma membrane of a particle named ROP1. This distribution is the result of a positive feedback loop, whose me…

stat.ME2014★ 26 cited

Parametric Estimation of Ordinary Differential Equations with Orthogonality Conditions

Nicolas J-B Brunel, Quentin Clairon, Florence d'Alche-Buc

Differential equations are commonly used to model dynamical deterministic systems in applications. When statistical parameter estimation is required to calibrate theoretical models…

stat.ME2014★ 1 cited

State and Parameter Estimation of Partially Observed Linear Ordinary Differential Equations with Deterministic Optimal Control

Quentin Clairon, Nicolas Brunel

Ordinary Differential Equations are a simple but powerful framework for modeling complex systems. Parameter estimation from times series can be done by Nonlinear Least Squares (or…

stat.ME2014

A Tracking Approach to Parameter Estimation in Linear Ordinary Differential Equations

Nicolas Brunel, Quentin Clairon

Ordinary Differential Equations are widespread tools to model chemical, physical, biological process but they usually rely on parameters which are of critical importance in terms o…