Sam Cooler

Decomposition of retinal ganglion cell electrical images for cell type and functional inference

The paper decomposes retinal ganglion cell electrical images to infer cell types and functional properties using a novel optimization-based algorithm.

Functional diversity in the output of the primate retina

The paper identifies functional diversity in primate retinal ganglion cells (RGCs) through multi-electrode recordings, revealing non-classical receptive field structures and specialized roles beyond spatial filtering.

Modeling responses of macaque and human retinal ganglion cells to natural images using a convolutional neural network

The paper trains a convolutional neural network to predict retinal ganglion cell responses to natural images in macaques and humans, finding it more accurate than a linear-nonlinear model.

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.