Access the full text.
Sign up today, get DeepDyve free for 14 days.
A. Sznitman (1991)
Topics in propagation of chaos
(2003)
Grundlehren der Mathematischen Wissenschaften
M. Kac (1956)
Foundations of Kinetic Theory
N. Fournier, Eva Locherbach (2014)
On a toy model of interacting neuronsarXiv: Probability
Jin Feng, T. Kurtz (2006)
Stochastic equations in infinite dimensions
A. Bhatt, R. Karandikar (1993)
Invariant Measures and Evolution Equations for Markov Processes Characterized Via Martingale ProblemsAnnals of Probability, 21
Francois Jos (2010)
Stochastic Mean-Field Limit: Non-Lipschitz Forces & SwarmingarXiv: Probability
S. Tanabe, K. Pakdaman (2001)
Noise-induced transition in excitable neuron modelsBiological Cybernetics, 85
H. McKean (1966)
Speed of approach to equilibrium for Kac's caricature of a Maxwellian gasArchive for Rational Mechanics and Analysis, 21
C. Quiñinao, J. Touboul (2013)
Limits and Dynamics of Randomly Connected Neuronal NetworksActa Applicandae Mathematicae, 136
David Godinho, C. Quiñinao (2013)
Propagation of chaos for a sub-critical Keller-Segel modelarXiv: Probability
L. Schmetterer (1963)
Zeitschrift fur Wahrscheinlichkeitstheorie und Verwandte Gebiete.Biometrika, 50
École Saint-Flour, D. Burkholder, É. Pardoux, A. Sznitman, P. Hennequin (1991)
Ecole d'été de probabilités de Saint-Flour XIX, 1989
N. Fournier, A. Guillin (2013)
On the rate of convergence in Wasserstein distance of the empirical measureProbability Theory and Related Fields, 162
J. Touboul (2012)
Limits and Dynamics of Stochastic Neuronal Networks with Random Heterogeneous DelaysJournal of Statistical Physics, 149
M. Kac (1956)
Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, 1954–1955, vol. III
J. Touboul (2011)
Propagation of chaos in neural fieldsAnnals of Applied Probability, 24
Franccois Bolley, J. Cañizo, J. Carrillo (2010)
Stochastic Mean-Field Limit: Non-Lipschitz Forces & SwarmingMathematical Models and Methods in Applied Sciences, 21
K. Pakdaman, B. Perthame, Delphine Salort (2009)
Dynamics of a structured neuron populationNonlinearity, 23
J. Jacod, A. Shiryaev (1987)
Limit Theorems for Stochastic Processes
H.P. McKean (1967)
Stochastic Differential Equations
J. Pham, K. Pakdaman, J. Champagnat, J. Vibert (1998)
Activity in sparsely connected excitatory neural networks: effect of connectivityNeural networks : the official journal of the International Neural Network Society, 11 3
A. Sznitman (1984)
Équations de type de Boltzmann, spatialement homogènesZeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete, 66
K. Pakdaman, B. Perthame, Delphine Salort (2014)
Adaptation and Fatigue Model for Neuron Networks and Large Time Asymptotics in a Nonlinear Fragmentation EquationJournal of Mathematical Neuroscience, 4
A. Masi, A. Galves, Eva Locherbach, E. Presutti (2014)
Hydrodynamic Limit for Interacting NeuronsJournal of Statistical Physics, 158
池田 信行, 渡辺 信三 (1981)
Stochastic differential equations and diffusion processes
Philippe Robert, J. Touboul (2014)
On the Dynamics of Random Neuronal NetworksJournal of Statistical Physics, 165
K. Pakdaman, B. Perthame, Delphine Salort (2011)
Relaxation and Self-Sustained Oscillations in the Time Elapsed Neuron Network ModelSIAM J. Appl. Math., 73
We introduce a microscopic spiking network consistent with the age-structured/renewal equation proposed by Pakdaman, Perthame and Salort. It is a jump process interacting through a set of global activity variables with random delays. We show the well-posedness of the particle system and the mean-field equation. Moreover, by studying the tightness of the empirical measure, we prove the propagation of chaos property. Eventually, we quantify the rate of convergence by using the coupling method.
Acta Applicandae Mathematicae – Springer Journals
Published: May 4, 2016
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.