Home > Publications database > Chromium Doped UO2-Based Ceramics: Synthesis and Characterization of Model Materials for Modern Nuclear Fuels |
Journal Article | FZJ-2021-03942 |
; ; ; ; ; ;
2021
MDPI
Basel
This record in other databases:
Please use a persistent id in citations: http://hdl.handle.net/2128/28917 doi:10.3390/ma14206160
Abstract: We here unify the field-theoretical approach to neuronal networks with large deviations theory. For a prototypical random recurrent network model with continuous-valued units, we show that the effective action is identical to the rate function and derive the latter using field theory. This rate function takes the form of a Kullback-Leibler divergence which enables data-driven inference of model parameters and calculation of fluctuations beyond mean-field theory. Lastly, we expose a regime with fluctuation-induced transitions between mean-field solutions.
![]() |
The record appears in these collections: |