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Neuronal Network Inference and Membrane Potential Model using
  Multivariate Hawkes Processes

Neuronal Network Inference and Membrane Potential Model using Multivariate Hawkes Processes

2 August 2021
Anna Bonnet
Charlotte Dion-Blanc
François Gindraud
Sarah Lemler
ArXiv (abs)PDFHTML

Papers citing "Neuronal Network Inference and Membrane Potential Model using Multivariate Hawkes Processes"

7 / 7 papers shown
Title
Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
Romain Edmond Lacoste
GP
96
1
0
26 Feb 2025
Maximum Likelihood Estimation for Hawkes Processes with self-excitation
  or inhibition
Maximum Likelihood Estimation for Hawkes Processes with self-excitation or inhibition
Anna Bonnet
M. Herrera
Maxime Sangnier
30
21
0
09 Mar 2021
On the nonparametric inference of coefficients of self-exciting
  jump-diffusion
On the nonparametric inference of coefficients of self-exciting jump-diffusion
Chiara Amorino
Charlotte Dion
A. Gloter
Sarah Lemler
63
5
0
24 Nov 2020
Nonparametric drift estimation for diffusions with jumps driven by a
  Hawkes process
Nonparametric drift estimation for diffusions with jumps driven by a Hawkes process
Charlotte Dion
Sarah Lemler
112
9
0
17 Apr 2019
Estimating the interaction graph of stochastic neural dynamics
Estimating the interaction graph of stochastic neural dynamics
A. Duarte
A. Galves
E. Löcherbach
G. Ost
52
20
0
01 Apr 2016
Lasso and probabilistic inequalities for multivariate point processes
Lasso and probabilistic inequalities for multivariate point processes
N. Hansen
Patricia Reynaud-Bouret
Vincent Rivoirard
164
189
0
02 Aug 2012
Penalized nonparametric mean square estimation of the coefficients of
  diffusion processes
Penalized nonparametric mean square estimation of the coefficients of diffusion processes
Fabienne Comte
V. Genon‐Catalot
Y. Rozenholc
118
107
0
30 Aug 2007
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