Timm Schubert

The paper introduces a large-scale dataset of functional responses from mouse ganglion cells, enabling population-level analyses and computational modeling of retinal computation.

Eyewire II provides a large-scale EM dataset of the mouse retina, enabling cell type annotation and connectivity mapping through human-in-the-loop deep learning and functional alignment.

The paper shows that On-Off coding in vertebrate vision is a latent, dynamically regulated computation rather than a fixed circuit feature, revealed through zebrafish and mouse studies.

The paper examines how photoreceptor degeneration in rd10 mice affects the resilience of different functional retinal ganglion cell (RGC) types, finding differential vulnerability among response types.

This study investigates how nitric oxide modulates contrast suppression in specific mouse retinal ganglion cell types using two-photon imaging and MEA recordings.

The paper identifies 25 functional GABAergic amacrine cell types in the mouse retina that balance chromatic information by reducing chromatic tuning and increasing receptive field diversity.

The paper investigates regional adaptations in dendritic signal processing of sustained ON alpha retinal ganglion cells in the mouse retina, finding differences in signal integration between nasal and temporal regions that may aid in prey detection.

This study investigates how voltage-gated sodium channels shape the light responses of mouse retinal ganglion cells, showing that specific channel properties determine contrast selectivity and response transience.

This study improves neural system identification by incorporating efficient coding principles, showing better performance and biologically plausible filters in retinal neuron response prediction.

This paper establishes a STED microscopy protocol for super-resolution imaging of whole-mount mouse retinas, achieving sub-120 nm resolution for subcellular structures.

The paper identifies three retinal mechanisms underlying saccadic suppression in mice, pigs, and macaques using electrophysiology and modeling, showing suppression arises from temporal filtering and nonlinearities rather than inhibition.

The paper establishes SPIEDAC labeling in living neurons for fluorescent protein labeling, enabling live-cell and super-resolution imaging with single-residue precision.

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 develops a domain adaptation framework to remove inter-experimental variability in systems neuroscience data while preserving biological signals, showing improved performance over existing methods.

The paper investigates motion sensing in mouse retinal bipolar cells, finding that some possess motion-sensitive receptive fields and transmit direction-specific signals to downstream neurons.

The paper investigates neural circuits in the mouse retina and finds that color-opponent cells are predominantly located in the ventral retina, supporting color vision in the upper visual field.

This study shows how four types of mouse retinal ganglion cells use different dendritic integration rules, influenced by both morphology and ion channel distribution.

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.

The paper maps spatio-temporal patterns of calpain activity in retinal degeneration models, linking Ca2+ dysregulation to primary rod death and apoptosis to secondary cone loss.

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 shows that balanced excitatory and inhibitory inputs in bipolar cells decorrelate visual feature representation in the mammalian inner retina.

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