Ulisse Ferrari

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Olivier MarreInstitut de la Vision, INSERM, ParisVerified email at inserm.fr
Deniz Dalkara1 INSERM, U968, Paris, F-75012, France; 2 Sorbonne Universités, UPMC Univ Paris 06, UMR_S 968Verified email at inserm.fr
Thierry MoraLaboratoire de physique de l'École normale supérieure, Centre national de recherche scientifiqueVerified email at phys.ens.fr
Stéphane DenyAssistant Professor at Aalto UniversityVerified email at aalto.fi
Giorgio ParisiProfessor of Theoretical Physics, Rome I University "La Sapienza"Verified email at roma1.infn.it
Luca LeuzziInstitute of Nanotechnology, CNR-NANOTEC c/o Department of Physics, Sapienza University of RomeVerified email at cnr.it
Trang-Anh E. NghiemPostdoctoral Scholar, Stanford UniversityVerified email at stanford.edu
Alain DestexheCNRSVerified email at unic.cnrs-gif.fr
Bartosz Teleńczukindependent researcherVerified email at telenczuk.pl
Francesco P. BattagliaFull professor, Donders Centre for Neuroscience, Radboud Universiteit NijmegenVerified email at science.ru.nl
Remi MonassonCNRS & Ecole Normale SupérieureVerified email at lpt.ens.fr
Francesco CaltagironeSenior Machine Learning Scientist @ SonosVerified email at sonos.com
Gasper TkacikProfessor, Deputy Dean of the Graduate School, Institute of Science and Technology AustriaVerified email at ist.ac.at
Federico Ricci-TersenghiProfessor of Theoretical Physics, "La Sapienza" University, RomaVerified email at roma1.infn.it
bianca sclaviDirecteur de Recherche 2, CNRSVerified email at sorbonne-universite.fr
Marco Cosentino LagomarsinoIFOM and University of MilanVerified email at ifom.eu
Emilie MacéUniversity Medical Center GoettingenVerified email at med.uni-goettingen.de
Pierre YgerCR at Lille Neuroscience and CognitionVerified email at inserm.fr
Carlo LucibelloAssistant Professor, Bocconi UniversityVerified email at unibocconi.it
Flaviano MoroneNYUVerified email at nyu.edu

Ulisse Ferrari

CRNS tenured, Institut de la Vision

Verified email at inserm.fr

Computational neuroscience AAV gene therapy Statistical physics


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Multiplexed computations in retinal ganglion cells of a single type S Deny, U Ferrari, E Mace, P Yger, R Caplette, S Picaud, G Tkačik, ... Nature communications 8 (1), 1964, 2017	65	2017
Functional ultrasound imaging of deep visual cortex in awake nonhuman primates K Blaize, F Arcizet, M Gesnik, H Ahnine, U Ferrari, T Deffieux, P Pouget, ... Proceedings of the National Academy of Sciences 117 (25), 14453-14463, 2020	59	2020
Critical slowing down exponents of mode coupling theory F Caltagirone, U Ferrari, L Leuzzi, G Parisi, F Ricci-Tersenghi, T Rizzo Physical review letters 108 (8), 085702, 2012	59	2012
Maximum-entropy models reveal the excitatory and inhibitory correlation structures in cortical neuronal activity TA Nghiem, B Telenczuk, O Marre, A Destexhe, U Ferrari Physical Review E 98 (1), 012402, 2018	43*	2018
Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticity G Tavoni, U Ferrari, FP Battaglia, S Cocco, R Monasson Network Neuroscience 1 (3), 275-301, 2017	42*	2017
Cholinergic switch between two types of slow waves in cerebral cortex TAE Nghiem, N Tort-Colet, T Górski, U Ferrari, S Moghimyfiroozabad, ... Cerebral Cortex 30 (6), 3451-3466, 2020	41	2020
DnaA and the timing of chromosome replication in Es-cherichia coli as a function of growth rate MAA Grant, C Saggioro, U Ferrari, B Bassetti, B Sclavi, ... BMC systems biology 5, 1-14, 2011	37	2011
Towards optogenetic vision restoration with high resolution U Ferrari, S Deny, A Sengupta, R Caplette, F Trapani, JA Sahel, ... PLoS computational biology 16 (7), e1007857, 2020	35*	2020
Finite-size corrections to disordered systems on Erdös-Rényi random graphs U Ferrari, C Lucibello, F Morone, G Parisi, F Ricci-Tersenghi, T Rizzo Physical Review B—Condensed Matter and Materials Physics 88 (18), 184201, 2013	31	2013
Learning Maximal Entropy Models from finite size datasets: a fast Data-Driven algorithm allows to sample from the posterior distribution U Ferrari Phys. Rev. E 94 (2), 023301, 2016	30	2016
Two-step relaxation next to dynamic arrest in mean-field glasses: Spherical and Ising -spin model U Ferrari, L Leuzzi, G Parisi, T Rizzo Physical Review B—Condensed Matter and Materials Physics 86 (1), 014204, 2012	26	2012
Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons U Ferrari, S Deny, M Chalk, G Tkačik, O Marre, T Mora Physical Review E 98 (4), 042410, 2018	25	2018
Context-dependent selectivity to natural images in the retina MA Goldin, B Lefebvre, S Virgili, MK Pham Van Cang, A Ecker, T Mora, ... Nature Communications 13 (1), 5556, 2022	24	2022
Random versus maximum entropy models of neural population activity U Ferrari, T Obuchi, T Mora Physical Review E 95 (4), 042321, 2017	22	2017
Ising --spin mean-field model for the structural glass: Continuous versus discontinuous transition F Caltagirone, U Ferrari, L Leuzzi, G Parisi, T Rizzo Physical Review B—Condensed Matter and Materials Physics 83 (10), 104202, 2011	21	2011
All-optical inter-layers functional connectivity investigation in the mouse retina GLB Spampinato, E Ronzitti, V Zampini, U Ferrari, F Trapani, H Khabou, ... Cell Reports Methods 2 (8), 2022	18*	2022
Planar polarity in primate cone photoreceptors: a potential role in Stiles Crawford effect phototropism A Verschueren, L Boucherit, U Ferrari, S Fouquet, C Nouvel-Jaillard, ... Communications Biology 5 (1), 89, 2022	18	2022
Functional ultrasound imaging of the spreading activity following optogenetic stimulation of the rat visual cortex M Provansal, G Labernède, C Joffrois, A Rizkallah, R Goulet, M Valet, ... Scientific reports 11 (1), 12603, 2021	17	2021
Predicting synchronous firing of large neural populations from sequential recordings O Sorochynskyi, S Deny, O Marre, U Ferrari PLoS computational biology 17 (1), e1008501, 2021	10	2021
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons G Mahuas, G Isacchini, O Marre, U Ferrari, T Mora Advances in neural information processing systems 33, 5070-5080, 2020	10	2020

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