Thomas Euler

A large-scale dataset of functional mouse ganglion cell layer responses

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 - A connectomic resource for resolving cell types and circuits of the mouse retina

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.

Inhibition benefits neural system identification

This paper incorporates inhibition into deep neural networks for neural prediction, showing it improves surround suppression learning but not cross-orientation inhibition.

On-Off coding is latent in vertebrate visual circuits

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 functional organization of retinal input to the mouse superior colliculus

The paper maps retinal ganglion cell functional diversity in the mouse superior colliculus and identifies specialized response types for collision detection.

openretina: Collaborative Retina Modelling Across Datasets and Species

openretina provides a standardized framework for training and evaluating retinal models across datasets and species, revealing unexplained variance in current models.

Photoreceptor degeneration has heterogeneous effects on functional retinal ganglion cell types

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.

Nitric oxide modulates contrast suppression in a subset of mouse retinal ganglion cells

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

A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations

The paper develops a biophysical model of the mouse outer retina to study contrast invariant coding, finding that nonlinearities in the retina enable robust classification despite contrast variations.

Vertebrate vision is ancestrally based on competing cone circuits

This study shows zebrafish use competing ancestral cone systems for vision, challenging the idea that cones work together for visual behavior and suggesting that spectral interactions in water drove vertebrate visual circuit evolution.

GABAergic amacrine cells balance biased chromatic information in the mouse retina

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.

A chromatic feature detector in the retina signals visual context changes

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

A hemispheric dome setup for naturalistic visual stimulation in head-fixed mice

This paper describes a hemispheric dome setup for naturalistic visual stimulation in head-fixed mice, showing that eye position shifts in response to visual input.

Sustained ON alpha retinal ganglion cells in the temporal retina exhibit task-specific regional adaptions in dendritic signal integration

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.

Spike desensitisation as a mechanism for high-contrast selectivity in retinal ganglion cells

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.

Efficient coding of natural scenes improves neural system identification

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

Super-resolution STED imaging in the inner and outer whole-mount mouse retina

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

Redefining the role of Ca2+-permeable channels in photoreceptor degeneration using diltiazem

This study shows that diltiazem enantiomers block Ca2+-influx in photoreceptors but do not prevent degeneration, challenging the role of Ca2+ in retinal degeneration.

Retinal horizontal cells use different synaptic sites for global feedforward and local feedback signaling

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.

Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience

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.

Estimating smooth and sparse neural receptive fields with a flexible spline basis

The paper introduces a spline-based method for estimating neural receptive fields, showing improved performance over non-spline methods in both simulated and experimental data.

Center-surround interactions underlie bipolar cell motion sensing in the mouse retina

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.

Mouse retinal specializations reflect knowledge of natural environment statistics

The paper uses a UV-green camera to study mouse visual environments and finds that natural scene statistics shape color discrimination and retinal processing in the upper visual field.

Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics

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

Neural circuits in the mouse retina support color vision in the upper visual field

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.

System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina

The paper develops a biophysically constrained computational model of inner retinal circuits that performs well on new stimuli and matches connectomics data.

Type-specific dendritic integration in mouse retinal ganglion cells

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 temporal structure of the inner retina at a single glance

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.

Systematic spatio-temporal mapping reveals divergent cell death pathways in three mouse models of hereditary retinal degeneration

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.

Divergent excitation two photon microscopy for 3D random access mesoscale imaging at single cell resolution

This paper introduces a new two-photon microscopy technique that expands the 3D field of view while maintaining single-cell resolution, enabling more comprehensive neuronal activity imaging in multiple organisms.