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Ulisse Ferrari

Showing results (1-10 of 21) with videos related to

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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 Ferrari
Physical Review. E|May 17, 2017
Random versus maximum entropy models of neural population activityUlisse Ferrari, Tomoyuki Obuchi, Thierry Mora
Eneuro|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.
Plos Computational Biology|January 28, 2021
Predicting synchronous firing of large neural populations from sequential recordingsOleksandr Sorochynskyi, Stéphane Deny, Olivier Marre, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 15, 2016
Dynamical arrest with zero complexity: The unusual behavior of the spherical Blume-Emery-Griffiths disordered modelCorrado Rainone, Ulisse Ferrari, Matteo Paoluzzi, et al.
Network Neuroscience (Cambridge, Mass.)|June 2, 2018
Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticityGaia Tavoni, Ulisse Ferrari, Francesco P Battaglia, et al.
Physical Review. E|August 17, 2018
Maximum-entropy models reveal the excitatory and inhibitory correlation structures in cortical neuronal activityTrang-Anh Nghiem, Bartosz Telenczuk, Olivier Marre, et al.
Vision Research|December 12, 2025
Balanced spatiotemporal color responses are fine-tuned to natural light spectrum in mice ventral retinaTom Quétu, Awen Louboutin, Filippo Castellani, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
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 Ferrari
Physical Review. E|May 17, 2017
Random versus maximum entropy models of neural population activityUlisse Ferrari, Tomoyuki Obuchi, Thierry Mora
Eneuro|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.
Plos Computational Biology|January 28, 2021
Predicting synchronous firing of large neural populations from sequential recordingsOleksandr Sorochynskyi, Stéphane Deny, Olivier Marre, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 15, 2016
Dynamical arrest with zero complexity: The unusual behavior of the spherical Blume-Emery-Griffiths disordered modelCorrado Rainone, Ulisse Ferrari, Matteo Paoluzzi, et al.
Network Neuroscience (Cambridge, Mass.)|June 2, 2018
Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticityGaia Tavoni, Ulisse Ferrari, Francesco P Battaglia, et al.
Physical Review. E|August 17, 2018
Maximum-entropy models reveal the excitatory and inhibitory correlation structures in cortical neuronal activityTrang-Anh Nghiem, Bartosz Telenczuk, Olivier Marre, et al.
Vision Research|December 12, 2025
Balanced spatiotemporal color responses are fine-tuned to natural light spectrum in mice ventral retinaTom Quétu, Awen Louboutin, Filippo Castellani, et al.
Pageof 3