Christian Behrens

The paper identifies a retinal ganglion cell type that detects visual context changes by responding selectively to chromatic contrast transitions.

The paper identifies two distinct synaptic sites on horizontal cells in the mouse retina that mediate local feedback to cones and global feedforward signaling to bipolar cells.

This paper uses Bayesian inference to estimate parameters of retinal neuron models from imaging data and optimizes stimulus waveforms for retinal neuroprosthetics.

The paper develops a method to image the entire inner plexiform layer of the retina at once, revealing response speed gradients in bipolar cells and isolating experimental batch effects.

This study shows mouse horizontal cells process cone input locally, with dendritic Ca2+ signals reflecting cone opsin activation and chromatic preference, supporting local feedback shaping cone output.

The paper examines connectivity patterns between bipolar cells and photoreceptors in the mouse retina, revealing deviations from classical synaptic organization.