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- W4310525093 abstract "We consider a stochastic system of spiking neurons which was previously proven to present a metastable behavior for a suitable choice of the parameter, in the sense that the time of extinction is asymptotically memory-less when the number of components in the system goes to ∞. In the present article we complete this work by showing that, previous to extinction, the system tends to stabilize in the sense that temporal means taken on an appropriate time scale converge in probability to some fixed value. This property is sometime called thermalization." @default.
- W4310525093 created "2022-12-11" @default.
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- W4310525093 date "2023-03-01" @default.
- W4310525093 modified "2023-10-13" @default.
- W4310525093 title "Convergence of the temporal averages of a metastable system of spiking neurons" @default.
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- W4310525093 doi "https://doi.org/10.1016/j.spa.2022.11.016" @default.
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