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Physical Review. E|May 17, 2017
Random versus maximum entropy models of neural population activityUlisse Ferrari, Tomoyuki Obuchi, Thierry MoraEneuro|January 31, 2018
Closed-Loop Estimation of Retinal Network Sensitivity by Local Empirical LinearizationUlisse Ferrari, Christophe Gardella, Olivier Marre, et al.Neural Computation|August 28, 2018
A Simple Model for Low Variability in Neural Spike TrainsUlisse Ferrari, Stéphane Deny, Olivier Marre, et al.Physical Review. E|September 19, 2023
Small-correlation expansion to quantify information in noisy sensory systemsGabriel Mahuas, Olivier Marre, Thierry Mora, et al.Physical Review. E|September 15, 2016
Learning maximum entropy models from finite-size data sets: A fast data-driven algorithm allows sampling from the posterior distributionUlisse FerrariNature Communications|September 22, 2022
Context-dependent selectivity to natural images in the retinaMatías A Goldin, Baptiste Lefebvre, Samuele Virgili, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 11, 2012
Dynamical singularities of glassy systems in a quantum quenchTomoyuki Obuchi, Kazutaka TakahashiPhysical Review. E|September 15, 2016
Multiple peaks of species abundance distributions induced by sparse interactionsTomoyuki Obuchi, Yoshiyuki Kabashima, Kei TokitaPhysical Review Letters|August 1, 2015
Physical Limit to Concentration Sensing Amid Spurious LigandsThierry MoraBiologie Aujourd'Hui|February 8, 2018
[IGoR: a tool for learning and simulating the random generation of antigen receptors]Thierry MoraPageof 16