Fred M Rieke

The paper identifies and characterizes a long-range inhibitory circuit in primate retina involving A1 amacrine cells and recursive bistratified ganglion cells, revealing their network organization and spike dynamics.

The paper introduces a computational framework to design stimuli that selectively manipulate specific retinal ganglion cell types with minimal impact on others.

The paper identifies two circuit mechanisms that explain the spatial selectivity of mouse Off Transient alpha retinal ganglion cells through localized inhibition and synaptic depression.

The paper identifies two nonlinear mechanisms in primate retina that shape neural responses and improve modeling of visual function.

The paper models rod-cone signal interactions in a visual circuit and finds that rod-cone interference reduces motion direction discriminability under mesopic lighting.

The paper examines how different ON bipolar cell subtypes generate distinct kinetic responses in transient and sustained ON retinal ganglion cells through synaptic mechanisms.

This study shows that ASCL1 can reprogram adult and infant macaque Müller glia into retinal ganglion cell-like neurons using a modified vector cassette.

This study shows human Muller glia can generate new neurons in adults using proneural transcription factors in 3D cultures.

The paper develops a biophysical model of the mouse outer retina to study contrast invariant coding, finding that nonlinearities in the retina enable robust classification despite contrast variations.

The paper introduces a tool to design light stimuli that predictably alter photoreceptor responses, enabling separation of nonlinearities in phototransduction from downstream circuits.

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.

This study shows that AAV-mediated delivery of proneural factors to adult Müller glia stimulates neurogenesis in vivo, producing neurons similar to those in the retina.

This paper develops a deep learning model of the retina with photoreceptor adaptation mechanisms, improving prediction of primate and rat retinal ganglion cell responses to dynamic stimuli.

The paper identifies two rod bipolar cell types in zebrafish that are related to mammalian rod bipolar cells, suggesting the primary rod pathway evolved over 400 million years ago.

The paper links retinal circuit processing of rod and cone signals in non-human primates to perceptual phenomena, identifying mechanisms that explain flicker insensitivity.

The paper shows that human vision at its sensitivity limit relies on ON parasol ganglion cell spikes, which enable high-fidelity contrast encoding but not single-photon detection.

The paper reduces natural scene dimensionality to predict retinal ganglion cell spike outputs accurately using simplified stimuli and computational modeling.

This study uses scRNA-seq to analyze molecular maturation of mouse retinal ganglion cells, showing visual activity is not required for type identity but is needed for full maturation.

This study reveals that direction selectivity circuits in primate retinas are conserved, showing SACs target a specific ganglion cell type involved in motion processing.

The paper shows On parasol retinal ganglion cells respond linearly to spatial structure in flashed gratings and natural images but nonlinearly to temporally-modulated grating stimuli, due to cone photoreceptor adaptation.

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.

The paper identifies features of predictive computations in the primate retina that may generalize across sensory systems.

This study identifies four primate retinal pathways that encode predictive motion information, nearly optimally representing future object trajectories.

The paper introduces a modeling framework that incorporates multiple noise sources to better estimate neural responses across stimulus conditions, revealing light level-dependent changes in retinal ganglion cell responses.

The paper identifies a new inhibitory retinal amacrine cell type, MAC, that forms direct electrical and chemical synapses with Müller glia, revealing neuron-glia coupling in the mammalian retina.

The paper shows that convergent circuits with nonlinear subunits and divergent parallel pathways can encode more information than linear subunits, despite individual losses from convergence and nonlinearities.

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

The paper models how fixational eye movements and phototransduction affect spatial contrast sensitivity in a computational observer, bringing its sensitivity closer to human levels.

This paper introduces a conductance-based encoding model to infer synaptic inputs from spike trains and shows it outperforms traditional models in predicting retinal ganglion cell responses.

This study shows that STAT pathway activation limits Ascl1-mediated chromatin remodeling in Muller glia, reducing their ability to regenerate neurons in the adult mouse retina.