Tim Gollisch

The paper shows that modifying images used for optogenetic stimulation can make retinal ganglion cell responses more similar to natural photoreceptor-driven responses in mice.

The paper develops a spatial contrast model to capture nonlinear spatial integration in primate retinal ganglion cells using natural and artificial stimuli, showing improved performance over linear models.

This study examines how primate retinal ganglion cells adapt their spatial processing to natural versus artificial stimuli, finding that some cell types adjust receptive fields and surrounds, but efficient coding only partially explains these changes.

This study uses convolutional neural networks to investigate wide-field inhibition in the marmoset retina, revealing hidden computational aspects of retinal processing through interpretable models.

The paper compares filter-based models of suppression in retinal ganglion cells across species and stimuli, finding divisive models generalize better across temporal frequencies and contrasts, while subtractive models capture slow dynamics.

This study shows that natural stimuli with species-specific gaze patterns drive correlated spiking responses in retinal ganglion cells, violating efficient coding theory.

This paper introduces STR, a method combining super-resolution and tomography to identify receptive field subunits in retinal ganglion cells, validated in primate recordings.

The paper introduces an accelerated version of spike-triggered non-negative matrix factorization to identify coordinated subunit mosaics in primate ganglion cells.

This study shows that AMPA receptor desensitization in dLGN relay cells reduces input and response gain and sharpens temporal responses to visual stimuli in vivo.

This study compares predictive models for retinal ganglion cell responses, finding that CNNs outperform LN models, while LN models show better cross-stimulus generalization.

The paper investigates how primate retinal ganglion cells respond to saccade-like image shifts, revealing distinct response patterns and functional diversity among cell types.

The paper identifies transient cell clusters in the neonatal mouse retina that link early neural activity to angiogenesis through purinergic signaling and microglial interaction.

The paper introduces a simple model that improves predictions of retinal ganglion cell responses to natural images by incorporating spatial variance in addition to average light intensity.

This study compares the release and effects of alpha-synuclein, Tau, and huntingtin in neuronal cells, showing similar release pathways and impacts on neuronal activity and inflammation.

The paper characterizes ectosomes and exosomes proteomes and shows they modulate neuronal activity differently.

The paper investigates nonlinear signal processing in retinal bipolar cells using salamander retinas and finds nonlinear contrast and spatial integration properties in a fraction of cells.

The paper investigates chromatic integration in mouse retina and finds nonlinear integration in subsets of ganglion cells, independent of spatial integration and involving inhibitory signals.

The paper shows that nonlinear spatial processing is important for retinal ganglion cell responses to natural stimuli, beyond linear receptive field models.

The paper identifies transient cell clusters in the neonatal mouse retina associated with cholinergic wave activity during retinal development.