Joshua H. Singer

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.

Molecular identification of wide-field amacrine cells in mouse retina that encode stimulus orientation

This study identifies and characterizes wide-field amacrine cells in mouse retina that encode stimulus orientation through molecular and functional analysis.

Analysis of Rod/Cone Gap Junctions from the Reconstruction of Mouse Photoreceptor Terminals

The paper reconstructs mouse photoreceptor terminals to analyze rod/cone gap junctions, finding they account for nearly all photoreceptor connections and are modulated by dopamine.

Dendro-somatic synaptic inputs to ganglion cells violate receptive field and connectivity rules in the mammalian retina

The paper identifies a retinal circuit where A2 amacrine cells inhibit OFF ganglion cells in the ON layer, contradicting established connectivity and receptive field rules.

Atoh7-independent specification of retinal ganglion cell identity

This study shows that Atoh7 is essential for RGC survival but not for their specification, as RGCs can develop without Atoh7 when apoptosis is inhibited.

Connectomic analysis reveals an interneuron with an integral role in the retinal circuit for night vision

The paper identifies a novel interneuron type in the mouse retina that provides synaptic inhibition to the AII amacrine cell, crucial for night vision.

Functional characterization of retinal ganglion cells using tailored nonlinear modeling

The paper develops a statistical model to characterize retinal ganglion cell computation and identifies distinct receptive fields and cell types in mouse retinas.