811 citations · 7.3k across the 89 of their papers we have counts for
16 papers · 1 filter
Strong, but not weak, noise correlations are beneficial for population coding
Gabriel Mahuas, Thomas Buffet, Olivier Marre +2
Neural correlations play a critical role in sensory information coding. They are of two kinds: signal correlations, when neurons have overlapping sensitivities, and noise correlati…
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…
Non-equilibrium dynamics of adaptation in sensory systems
Daniele Conti, Thierry Mora
Adaptation is used by biological sensory systems to respond to a wide range of environmental signals, by adapting their response properties to the statistics of the stimulus in ord…
Modeling the correlated activity of neural populations: A review
Christophe Gardella, Olivier Marre, Thierry Mora
The principles of neural encoding and computations are inherently collective and usually involve large populations of interacting neurons with highly correlated activities. While t…
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…