Gregory W. Schwartz

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.

Visual Identification of Conspecifics Shapes Social Behavior in Mice

This study shows that visual identification of conspecifics influences social behavior in mice, highlighting the role of vision in social interactions.

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 presynaptic source drives differing levels of surround suppression in two mouse retina ganglion cell types

The paper shows that differences in surround suppression between two mouse retinal ganglion cell types arise from synapse-specific regulation by amacrine cells at the bipolar cell level.

Optimal burstiness in populations of spiking neurons facilitates decoding of decreases in tonic firing

The paper introduces an 'information train' to better capture neural stimulus representation, finding an optimal level of burstiness for gap detection in spiking neuron populations.

Differences in spike generation instead of synaptic inputs determine the feature selectivity of two retinal cell types.

The paper shows that differences in spike generation, not synaptic inputs, explain the feature selectivity of two retinal ganglion cell types.

Multiple time scales of adaptation allow cones to encode the inputs created by visual exploration of natural scenes

The paper develops a biophysical model of cone phototransduction with fast and slow adaptation mechanisms to explain nonlinear responses to natural visual stimuli.

Unified classification of mouse retinal ganglion cells using function, morphology, and gene expression

The paper classifies mouse retinal ganglion cells into 42 types using functional, morphological, and transcriptomic data and provides an online database for classification.

An offset ON-OFF receptive field is created by gap junctions between distinct types of retinal ganglion cells

The paper identifies an offset between ON and OFF receptive fields in retinal ganglion cells, caused by gap junctions between distinct cell types, and shows this improves edge location representation.

Identification of Retinal Ganglion Cell Types and Brain Nuclei expressing the transcription factor Brn3c/Pou4f3 using a Cre recombinase knock-in allele.

This paper identifies new retinal ganglion cell types and brain nuclei expressing Brn3c using a novel Cre allele, revealing expanded RGC diversity and novel connectivity patterns.

The Olivary Pretectal Nucleus Receives Visual Input of High Spatial Resolution

The paper identifies retinal ganglion cell (RGC) types projecting to the olivary pretectal nucleus (OPN) in mice, finding that most input comes from a single RGC type that responds to small objects rather than luminance.

Receptive field center-surround interactions mediate context-dependent spatial contrast encoding in the retina

This study shows that receptive field surrounds influence spatial contrast encoding by modulating how centers integrate visual information, especially in natural stimuli.