47 citations · 274 across the 15 of their papers we have counts for
19 papers
A small-correlation expansion to quantify information in noisy sensory systems
Gabriel Mahuas, Olivier Marre, Thierry Mora +1
Neural networks encode information through their collective spiking activity in response to external stimuli. This population response is noisy and strongly correlated, with comple…
Time-dependent maximum entropy model for populations of retinal ganglion cells
Geoffroy Delamare, Ulisse Ferrari
The inverse Ising model is used in computational neuroscience to infer probability distributions of the synchronous activity of large neuronal populations. This method allows for f…
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons
Gabriel Mahuas, Giulio Isacchini, Olivier Marre +2
Generalized linear models are one of the most efficient paradigms for predicting the correlated stochastic activity of neuronal networks in response to external stimuli, with appli…
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…
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…
Cholinergic switch between two types of slow waves in cerebral cortex
Trang-Anh E. Nghiem, Núria Tort-Colet, Tomasz Górski +8
Sleep slow waves are known to participate in memory consolidation, yet slow waves occurring under anesthesia present no positive effects on memory. Here, we shed light onto this pa…