Olivier Marre

The paper shows that 40-Hz firing increases intrinsic excitability in retinal ganglion cells through Cav1-dependent regulation of Kv1 channels, altering their input-output transformation.

This paper predicts the efficacy of myopia control spectacle lenses by simulating their optical effect on the retina and shows that efficacy can be predicted from optical design.

This study investigates the role of Dusp4 in myopia development using a mouse model, finding altered retinal ON/OFF balance and increased sensitivity to myopia.

The paper shows that adaptive mechanisms in retinal ganglion cells reshape feature selectivity to detect homogeneous regions in natural scenes.

The paper identifies rod bipolar and AII amacrine cells as key to surround responses in OFF retinal ganglion cells through optogenetics and electrophysiology.

The paper reconstructs the evolutionary origins of retinal amacrine cell diversity using transcriptomic data from 24 vertebrate species, identifying 42 orthologous cell types and suggesting a hybrid precursor origin.

This study shows retinal population codes adjust their predictive timescale to input temporal structure using the information bottleneck framework.

The paper investigates how retinal ganglion cell activity can be compressed while preserving predictive information for downstream brain areas.

The paper shows VIP+ amacrine cells in the retina both inhibit and excite specific ganglion cells, coordinating their activity through gap junctions and GABAergic synapses.

The paper shows that specific ganglion cells respond selectively to contrast changes near moving object edges, suggesting they could serve as primitives for motion segmentation.

The paper analyzes retinal ganglion cell activity to show how sensory population codes balance normative optimality with variability through stiff and sloppy modes.

This study shows that expressing short-wavelength cone opsin in RGCs causes hyperpolarization, opposite to mid-wavelength opsin's depolarization, due to different G-protein activation.

The paper shows that retinal ganglion cells can detect the sign of defocus by using spatial contrast, which is affected by optical aberrations.

The paper shows that direction-selective retinal ganglion cells encode motion direction uniformly across all directions, despite being tuned to cardinal axes.

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

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 shows that depressing inhibitory synapses enable retinal ganglion cells to signal omitted stimuli in flash sequences, revealing a mechanism for predictive error signaling.

The paper shows that strong noise correlations improve population coding in neural populations, contradicting the common belief that they should be negative.

This study investigates whether retinal ganglion cells encode surprise by analyzing their responses to stochastic flash sequences and finding that their responses align with a normative model of surprise encoding.

This study shows that optogenetic stimulation of AII amacrine cells restores both ON and OFF retinal responses and enables other retinal computations in degenerate retinas.

The paper develops a small-correlation expansion to compute stimulus information in large neural populations, validated on synthetic data and applied to vertebrate retinal recordings.

The paper compares two methods for classifying retinal ganglion cells, showing that a stimulus-based approach captures more cell types by considering non-linearities.

The paper analyzes retinal population codes in natural scenes to show that stimulus-invariant population structure contributes to scene identity encoding.

The paper uses a U-net architecture to learn a low-dimensional, generalizable representation of time in natural scenes from retinal ganglion cell activity, achieving 17 ms resolution across different movies.

This paper demonstrates sonogenetic stimulation of the brain with high spatiotemporal resolution for visual restoration in rats and rodents.

This study investigates how retinal ganglion cells respond to natural scenes, finding that their ON-OFF selectivity varies with the image and is due to non-linear retinal circuit pathways.

This paper introduces a framework using multi-agent reinforcement learning to train and infer neural network functions in systems neuroscience.

The paper presents a method to predict population-level neural activity from sequential single-cell recordings using copula distributions and maximum entropy modeling, showing increased synchronous activity with larger populations.

The paper evaluates an optogenetic construct for vision restoration in non-human primates, demonstrating high temporal resolution and visual acuity above legal blindness.

This paper introduces a two-step inference strategy for training generalized linear models of noisy interacting neurons, showing improved performance and stability across complex stimuli.