Motivated by considerations from neuroscience (macroscopic behavior of large ensembles of interacting neurons), we consider a population of mean field interacting diffusions in Rm in the presence of a random environment and with spatial extension: each diffusion is attached to one site of the lattice Zd , and the interaction between two diffusions is attenuated by a spatial weight that depends on their positions. For a general class of singular weights (including the case already considered in the physical literature when interactions obey to a power-law of parameter 0 < d. Our framework cover the case of polynomially bounded monotone dynamics that are especially encountered in the main models of neural oscillators. © Institute of Mathematical Statistics, 2014.
CITATION STYLE
Luçon, E., & Stannat, W. (2014). Mean field limit for disordered diffusions with singular interactions. Annals of Applied Probability, 24(5), 1946–1993. https://doi.org/10.1214/13-AAP968
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