International audienceThe retina is the entrance of the visual system. Although based on common biophysical principles the dynamics of retinal neurons is quite different from their cortical counterparts, raising interesting problems for modellers. In this paper I address some mathematically stated questions in this spirit, discussing, in particular: (1) How could lateral amacrine cell connectivity shape the spatio-temporal spike response of retinal ganglion cells ? (2) How could spatio-temporal stimuli correlations and retinal network dynamics shape the spike train correlations at the output of the retina ? These questions are addressed, first, introducing a mathematically tractable model of the layered retina, integrating amacrine cells l...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
The retina is a complex neural structure. The characteristics of retinal processing are reviewed ext...
Thesis (Ph.D.)--University of Washington, 2021To understand neural circuit function, one would like ...
A computational model of visual processing in the vertebrate retina provides a unified explanation o...
Thesis (Ph.D.)--University of Washington, 2017-06In the human retina, the axons of roughly 10^6 reti...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
International audienceIntroduction • The visual system uses motion anticipation to compensate the de...
AbstractGanglion cells convey information from the retina back to the brain. Recent experiments have...
Computational models founded on the prevailing paradigm of retinal processing, while able to replica...
Traditional models of retinal system identification analyze the neural response to artificial stimul...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
Humans can distinguish visual stimuli that differ by features the size of only a few photoreceptors....
AbstractA recent study suggests a neuronal circuit in the retina by which amacrine cells contribute ...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
The retina is a complex neural structure. The characteristics of retinal processing are reviewed ext...
Thesis (Ph.D.)--University of Washington, 2021To understand neural circuit function, one would like ...
A computational model of visual processing in the vertebrate retina provides a unified explanation o...
Thesis (Ph.D.)--University of Washington, 2017-06In the human retina, the axons of roughly 10^6 reti...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
International audienceIntroduction • The visual system uses motion anticipation to compensate the de...
AbstractGanglion cells convey information from the retina back to the brain. Recent experiments have...
Computational models founded on the prevailing paradigm of retinal processing, while able to replica...
Traditional models of retinal system identification analyze the neural response to artificial stimul...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
Humans can distinguish visual stimuli that differ by features the size of only a few photoreceptors....
AbstractA recent study suggests a neuronal circuit in the retina by which amacrine cells contribute ...
Redundancies and correlations in the responses of sensory neurons may seem to waste neural resources...
The retina is a complex neural structure. The characteristics of retinal processing are reviewed ext...
Thesis (Ph.D.)--University of Washington, 2021To understand neural circuit function, one would like ...