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papers

Publications (15)

Optogenetic vision restoration with high resolution

Ulisse Ferrari, StÃ©phane Deny, Abhishek Sengupta +6

Pairwise Ising model analysis of human cortical neuron recordings

Trang-Anh Nghiem, Olivier Marre, Alain Destexhe +1

Random versus maximum entropy models of neural population activity

Ulisse Ferrari, Tomoyuki Obuchi, Thierry Mora

cond-mat.dis-nn2011

Random, thermodynamic and inverse first order transitions in the Blume-Capel spin-glass

Ulisse Ferrari, Luca Leuzzi

cond-mat.dis-nn2012

On the two-steps relaxation of mean-field glasses: p-spin model

Ulisse Ferrari, Luca Leuzzi, Giorgio Parisi +1

Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons

Ulisse Ferrari, Stephane Deny, Matthew Chalk +3

Predicting synchronous firing of large neural populations from sequential recordings

Oleksandr Sorochynskyi, StÃ©phane Deny, Olivier Marre +1

cond-mat.dis-nn2013

Finite size corrections to disordered systems on ErdÃ¶s-RÃ©nyi random graphs

Ulisse Ferrari, Carlo Lucibello, Flaviano Morone +3

cond-mat.dis-nn2012

Critical slowing down exponents in quenched disordered spin models for structural glasses: Random Orthogonal and related models

Francesco Caltagirone, Ulisse Ferrari, Luca Leuzzi +2

DnaA and the timing of chromosome replication in Escherichia coli as a function of growth rate

Matthew A. A. Grant, Chiara Saggioro, Ulisse Ferrari +3

cond-mat.dis-nn2015

Dynamical arrest with zero complexity: the unusual behavior of the spherical Blume Emery Griffiths disordered model

Corrado Rainone, Ulisse Ferrari, Matteo Paoluzzi +1

Maximum entropy models reveal the excitatory and inhibitory correlation structures in cortical neuronal activity

Trang-Anh Nghiem, Bartosz Telenczuk, Olivier Marre +2

Closed-loop estimation of retinal network sensitivity reveals signature of efficient coding

Ulisse Ferrari, Christophe Gardella, Olivier Marre +1

cond-mat.dis-nn2016

Learning Maximum Entropy Models from finite size datasets: a fast Data-Driven algorithm allows sampling from the posterior distribution

Ulisse Ferrari

A simple model for low variability in neural spike trains

Ulisse Ferrari, Stephane Deny, Olivier Marre +1