27 citations · 53 across the 3 of their papers we have counts for
3 papers
q-bio.NC2014★ 27 cited
Parameters estimation for spatio-temporal maximum entropy distributions: application to neural spike trains
Hassan Nasser, Bruno Cessac
We propose a numerical method to learn Maximum Entropy (MaxEnt) distributions with spatio-temporal constraints from experimental spike trains. This is an extension of two papers [1…
q-bio.NC2012★ 25 cited
Spatio-temporal spike trains analysis for large scale networks using maximum entropy principle and Monte-Carlo method
Hassan Nasser, Olivier Marre, Bruno Cessac
Understanding the dynamics of neural networks is a major challenge in experimental neuroscience. For that purpose, a modelling of the recorded activity that reproduces the main sta…
nlin.AO2010★ 1 cited
Spike trains statistics in Integrate and Fire Models: exact results
Bruno Cessac, Hassan Nasser, Juan-Carlos Vasquez
We briefly review and highlight the consequences of rigorous and exact results obtained in \cite{cessac:10}, characterizing the statistics of spike trains in a network of leaky Int…