785 citations · 907 across the 9 of their papers we have counts for
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Predicting synchronous firing of large neural populations from sequential recordings
Oleksandr Sorochynskyi, Stéphane Deny, Olivier Marre +1
A major goal in neuroscience is to understand how populations of neurons code for stimuli or actions. While the number of neurons that can be recorded simultaneously is increasing…
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Jack Lindsey, Samuel A. Ocko, Surya Ganguli +1
The visual system is hierarchically organized to process visual information in successive stages. Neural representations vary drastically across the first stages of visual processi…
Optogenetic vision restoration with high resolution
Ulisse Ferrari, Stéphane Deny, Abhishek Sengupta +6
The majority of inherited retinal degenerations are due to photoreceptor cell death. In many cases ganglion cells are spared making it possible to stimulate them to restore visual…
Separating intrinsic interactions from extrinsic correlations in a network of sensory neurons
Ulisse Ferrari, Stephane Deny, Matthew Chalk +3
Correlations in sensory neural networks have both extrinsic and intrinsic origins. Extrinsic or stimulus correlations arise from shared inputs to the network, and thus depend stron…
A simple model for low variability in neural spike trains
Ulisse Ferrari, Stephane Deny, Olivier Marre +1
Neural noise sets a limit to information transmission in sensory systems. In several areas, the spiking response (to a repeated stimulus) has shown a higher degree of regularity th…
Nonlinear decoding of a complex movie from the mammalian retina
Vicente Botella-Soler, Stéphane Deny, Olivier Marre +1
Retinal circuitry transforms spatiotemporal patterns of light into spiking activity of ganglion cells, which provide the sole visual input to the brain. Recent advances have led to…
Dynamical criticality in the collective activity of a population of retinal neurons
Thierry Mora, Stéphane Deny, Olivier Marre
Recent experimental results based on multi-electrode and imaging techniques have reinvigorated the idea that large neural networks operate near a critical point, between order and…