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The emergence of multiple retinal cell types through efficient coding of natural movies
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470514610.ch2openalex-snapshot
Physiology, Morphology and Spatial Densities of Identified Ganglion Cell Types in Primate Retina
inferredcites →https://doi.org/10.1007/978-3-642-56550-2_19openalex-snapshot
Spatiotemporal Inseparability of Natural Images and Visual Sensitivities
inferredcites →https://doi.org/10.1007/bf00188924openalex-snapshot
Theoretical predictions of spatiotemporal receptive fields of fly LMCs, and experimental validation
inferredcites →https://doi.org/10.1016/0042-6989(93)90163-qopenalex-snapshot
Spatiotemporal contrast sensitivity of early vision
inferredcites →https://doi.org/10.1016/0042-6989(94)90074-4openalex-snapshot
Responses to pulses and sinusoids in macaque ganglion cells
inferredcites →https://doi.org/10.1016/0047-259x(75)90042-1openalex-snapshot
Reduced-rank regression for the multivariate linear model
inferredcites →https://doi.org/10.1016/j.neuron.2009.12.009openalex-snapshot
Eye Smarter than Scientists Believed: Neural Computations in Circuits of the Retina
inferredcites →https://doi.org/10.1016/s0042-6989(03)00096-8openalex-snapshot
Synaptic energy efficiency in retinal processing
inferredcites →https://doi.org/10.1016/s0042-6989(97)00121-1openalex-snapshot
The “independent components” of natural scenes are edge filters
inferredcites →https://doi.org/10.1016/s0959-4388(00)00237-3openalex-snapshot
Energy as a constraint on the coding and processing of sensory information
inferredcites →https://doi.org/10.1038/381607a0openalex-snapshot
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
inferredcites →https://doi.org/10.1038/nature09424openalex-snapshot
Functional connectivity in the retina at the resolution of photoreceptors
inferredcites →https://doi.org/10.1038/nn.3891openalex-snapshot
Retinal output changes qualitatively with every change in ambient illuminance
inferredcites →https://doi.org/10.1038/nrn1497openalex-snapshot
Parallel processing in the mammalian retina
inferredcites →https://doi.org/10.1038/s41467-017-02159-yopenalex-snapshot
Multiplexed computations in retinal ganglion cells of a single type
inferredcites →https://doi.org/10.1073/pnas.1005846107openalex-snapshot
Retina is structured to process an excess of darkness in natural scenes
inferredcites →https://doi.org/10.1073/pnas.1211547109openalex-snapshot
The most numerous ganglion cell type of the mouse retina is a selective feature detector
inferredcites →https://doi.org/10.1073/pnas.1418092112openalex-snapshot
Critical and maximally informative encoding between neural populations in the retina
inferredcites →https://doi.org/10.1073/pnas.1506855112openalex-snapshot
Predictive information in a sensory population
inferredcites →https://doi.org/10.1073/pnas.1711114115openalex-snapshot
Toward a unified theory of efficient, predictive, and sparse coding
inferredcites →https://doi.org/10.1073/pnas.83.8.2755openalex-snapshot
The primate retina contains two types of ganglion cells, with high and low contrast sensitivity.
inferredcites →https://doi.org/10.1073/pnas.89.20.9666openalex-snapshot
Dendritic field size and morphology of midget and parasol ganglion cells of the human retina.
inferredcites →https://doi.org/10.1073/pnas.90.17.8128openalex-snapshot
Response variability in retinal ganglion cells of primates.
inferredcites →https://doi.org/10.1088/0954-898x/13/4/306openalex-snapshot
A test of metabolically efficient coding in the retina
inferredcites →https://doi.org/10.1088/0954-898x/6/3/003openalex-snapshot
Statistics of natural time-varying images
inferredcites →https://doi.org/10.1093/acprof:oso/9780199564668.001.0001openalex-snapshot
Understanding Vision
inferredcites →https://doi.org/10.1152/jn.1997.78.4.2048openalex-snapshot
Mosaic Arrangement of Ganglion Cell Receptive Fields in Rabbit Retina
inferredcites →https://doi.org/10.1162/neco.1990.2.3.308openalex-snapshot
Towards a Theory of Early Visual Processing
inferredcites →https://doi.org/10.1162/neco.1992.4.2.196openalex-snapshot
What Does the Retina Know about Natural Scenes?
inferredcites →https://doi.org/10.1364/josaa.4.002379openalex-snapshot
Relations between the statistics of natural images and the response properties of cortical cells
inferredcites →https://doi.org/10.1371/journal.pbio.0050065openalex-snapshot
Retinal Ganglion Cells Can Rapidly Change Polarity from Off to On
inferredcites →https://doi.org/10.1523/jneurosci.1032-14.2014openalex-snapshot
Benefits of Pathway Splitting in Sensory Coding
inferredcites →https://doi.org/10.1523/jneurosci.11-11-03422.1991openalex-snapshot
Does primate motion perception depend on the magnocellular pathway?
inferredcites →https://doi.org/10.1523/jneurosci.13-12-05334.1993openalex-snapshot
The mosaic of midget ganglion cells in the human retina
inferredcites →https://doi.org/10.1523/jneurosci.3437-07.2007openalex-snapshot
Spatial Properties and Functional Organization of Small Bistratified Ganglion Cells in Primate Retina
inferredcites →https://doi.org/10.1523/jneurosci.4036-12.2012openalex-snapshot
Efficient Coding of Spatial Information in the Primate Retina
inferredcites →https://doi.org/10.1523/jneurosci.5294-08.2009openalex-snapshot
Uniform Signal Redundancy of Parasol and Midget Ganglion Cells in Primate Retina
inferredcites →https://doi.org/10.7551/mitpress/9780262518420.003.0013openalex-snapshot
Possible Principles Underlying the Transformations of Sensory Messages
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11071-026-12740-0openalex-snapshot
Impact of leaky dynamics on predictive path integration accuracy in recurrent neural networks
inferred← citeshttps://doi.org/10.1016/j.cobeha.2024.101391openalex-snapshot
The vertebrate retina: a window into the evolution of computation in the brain
inferred← citeshttps://doi.org/10.1016/j.conb.2019.09.013openalex-snapshot
The role of adaptation in neural coding
inferred← citeshttps://doi.org/10.1016/j.cub.2021.05.017openalex-snapshot
Natural environment statistics in the upper and lower visual field are reflected in mouse retinal specializations
inferred← citeshttps://doi.org/10.1016/j.cub.2021.06.015openalex-snapshot
Mouse vision: La vie en ultraviolet
inferred← citeshttps://doi.org/10.1016/j.cub.2025.02.014openalex-snapshot
Altered proportions of retinal cell types and distinct visual codes in rodents occupying divergent ecological niches
inferred← citeshttps://doi.org/10.1016/j.neuron.2020.05.030openalex-snapshot
Efficient Coding by Midget and Parasol Ganglion Cells in the Human Retina
inferred← citeshttps://doi.org/10.1016/j.visres.2025.108683openalex-snapshot
Origins and objectives of computational diversity in sensory populations
inferred← citeshttps://doi.org/10.1038/s41467-023-41032-zopenalex-snapshot
Birds multiplex spectral and temporal visual information via retinal On- and Off-channels
inferred← citeshttps://doi.org/10.1038/s41467-026-77399-yopenalex-snapshot
Temporal prediction captures retinal spiking responses across animal species
inferred← citeshttps://doi.org/10.1038/s41583-019-0242-1openalex-snapshot
Understanding the retinal basis of vision across species
inferred← citeshttps://doi.org/10.1038/s41586-024-08212-3openalex-snapshot
Nonlinear receptive fields evoke redundant retinal coding of natural scenes
inferred← citeshttps://doi.org/10.1073/pnas.2105115118openalex-snapshot
Scene statistics and noise determine the relative arrangement of receptive field mosaics
inferred← citeshttps://doi.org/10.1073/pnas.2200800119openalex-snapshot
Neural representational geometry underlies few-shot concept learning
inferred← citeshttps://doi.org/10.1088/1741-2552/acb295openalex-snapshot
Artificial intelligence techniques for retinal prostheses: a comprehensive review and future direction
inferred← citeshttps://doi.org/10.1093/cercor/bhad163openalex-snapshot
Expectation violations produce error signals in mouse V1
inferred← citeshttps://doi.org/10.1093/med/9780197676158.003.0017openalex-snapshot
A Comparative Approach to Parallel Geniculocortical Pathways
inferred← citeshttps://doi.org/10.1101/2020.12.08.416172openalex-snapshot
Mouse retinal specializations reflect knowledge of natural environment statistics
inferred← citeshttps://doi.org/10.1101/2021.03.10.434612openalex-snapshot
The optimal spatial arrangement of ON and OFF receptive fields
inferred← citeshttps://doi.org/10.1101/2021.03.21.436284openalex-snapshot
The Geometry of Concept Learning
inferred← citeshttps://doi.org/10.1101/2024.06.14.598659openalex-snapshot
Reconfiguration of the visual code and retinal cell type complement in closely related diurnal and nocturnal mice
inferred← citeshttps://doi.org/10.1101/511535openalex-snapshot
A Unified Theory Of Early Visual Representations From Retina To Cortex Through Anatomically Constrained Deep CNNs
inferred← citeshttps://doi.org/10.1101/575464openalex-snapshot
Hierarchical temporal prediction captures motion processing from retina to higher visual cortex
inferred← citeshttps://doi.org/10.1126/sciadv.aeg7846openalex-snapshot
Population-level geometric filtering generates motion-coherence selectivity in the retina
inferred← citeshttps://doi.org/10.1146/annurev-vision-032621-075200openalex-snapshot
Generating and Using Transcriptomically Based Retinal Cell Atlases
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1009754openalex-snapshot
Realistic retinal modeling unravels the differential role of excitation and inhibition to starburst amacrine cells in direction selectivity
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1011037openalex-snapshot
Efficient coding of natural scenes improves neural system identification
inferred← citeshttps://doi.org/10.1523/eneuro.0060-26.2026openalex-snapshot
Spatial Adaptation of Primate Retinal Ganglion Cells Between Artificial and Natural Stimuli
inferred← citeshttps://doi.org/10.26686/wgtn.21331005openalex-snapshot
Backpropagation-free learning with an information surrogate
inferred← citeshttps://doi.org/10.3389/fncom.2020.00020openalex-snapshot
Clustering of Neural Activity: A Design Principle for Population Codes
inferred← citeshttps://doi.org/10.3389/fncom.2022.929348openalex-snapshot
Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future Directions
inferred← citeshttps://doi.org/10.3390/s23249646openalex-snapshot
Bioinspired Photoreceptors with Neural Network for Recognition and Classification of Sign Language Gesture
inferred← citeshttps://doi.org/10.3410/f.739722699.793584655openalex-snapshot
Faculty Opinions recommendation of Looking for image statistics: active vision with avatars in a naturalistic virtual environment.
inferred← citeshttps://doi.org/10.48550/arxiv.2102.08373openalex-snapshot
Analysis of feature learning in weight-tied autoencoders via the mean field lens
inferred← citeshttps://doi.org/10.48550/arxiv.2103.03230openalex-snapshot
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
inferred← citeshttps://doi.org/10.52202/068431-2341openalex-snapshot
Efficient Coding, Channel Capacity, and the Emergence of Retinal Mosaics
inferred← citeshttps://doi.org/10.53846/goediss-9262openalex-snapshot
How nonlinear processing shapes natural stimulus encoding in the retina
inferred← citeshttps://doi.org/10.64898/2026.01.08.698312openalex-snapshot
Hierarchical processing and polarization encoding in the cephalopod visual system
inferred← citeshttps://doi.org/10.64898/2026.05.01.722149openalex-snapshot
On-Off coding is latent in vertebrate visual circuits
inferred← citeshttps://doi.org/10.70675/fd19c3efz90d8z476fz95f8z5408aa739b9dopenalex-snapshot
Encoding surprise by retinal ganglion cells
inferred← citeshttps://doi.org/10.7554/elife.52599openalex-snapshot
Hierarchical temporal prediction captures motion processing along the visual pathway
inferred← citeshttps://doi.org/10.7554/elife.86860openalex-snapshot
A chromatic feature detector in the retina signals visual context changes
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