Andra M. Rudzite

This paper introduces a high-throughput method for studying retinal ganglion cell projections, physiology, and morphology across species without relying on genetically modified animals.

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

This study compares how retinal and V1 neural populations encode visual features, finding discrete encoding in retina and continuous in V1, with CNNs resembling retinal encoding.

This paper introduces a 1-photon light-sheet microscopy system for high-throughput, high-resolution functional analysis of retinal neurons.

The paper examines how light adaptation affects the spatiotemporal receptive field structures of retinal ganglion cell types in rats, finding that their relative organization is largely preserved.