Under a mean-field interacting neuron model with spike resets, the log-likelihood ratio converges to a Gaussian shift and the MLE is asymptotically normal and locally minimax optimal at rate sqrt(N).
and Veltz, R., Long time behavior of a mean-field model of interacting neurons, Stoch
2 Pith papers cite this work, alongside 28 external citations. Polarity classification is still indexing.
2
Pith papers citing it
28
external citations · Crossref
years
2026 2representative citing papers
citing papers explorer
-
LAN property for the parameter of the jump rate in mean field interacting systems of neurons
Under a mean-field interacting neuron model with spike resets, the log-likelihood ratio converges to a Gaussian shift and the MLE is asymptotically normal and locally minimax optimal at rate sqrt(N).
- Interference Queueing Networks: A Replica Mean-Field Approach in the Symmetric Setting