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Testing pseudo-linear models of responses to natural scenes in primate retina

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0042-6989(65)90033-7openalex-snapshot

Quantitative analysis of cat retinal ganglion cell response to visual stimuli

inferredcites →https://doi.org/10.1016/0278-4327(84)90011-7openalex-snapshot

Chapter 9 Visual adaptation and retinal gain controls

inferredcites →https://doi.org/10.1016/j.conb.2004.07.007openalex-snapshot

Sparse coding of sensory inputs

inferredcites →https://doi.org/10.1016/j.neuron.2009.11.028openalex-snapshot

The Challenges Natural Images Pose for Visual Adaptation

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/j.neuron.2014.02.037openalex-snapshot

The Synaptic and Circuit Mechanisms Underlying a Change in Spatial Encoding in the Retina

inferredcites →https://doi.org/10.1016/s0896-6273(01)00322-1openalex-snapshot

Predicting Every Spike

inferredcites →https://doi.org/10.1017/s0952523800008853openalex-snapshot

The receptive field of the primate P retinal ganglion cell, I: Linear dynamics

inferredcites →https://doi.org/10.1038/226458a0openalex-snapshot

Algebraic Summation of Centre and Surround Inputs to Retinal Ganglion Cells of the Cat

inferredcites →https://doi.org/10.1038/386069a0openalex-snapshot

Adaptation of retinal processing to image contrast and spatial scale

inferredcites →https://doi.org/10.1038/nature01652openalex-snapshot

Segregation of object and background motion in the retina

inferredcites →https://doi.org/10.1038/nature07140openalex-snapshot

Spatio-temporal correlations and visual signalling in a complete neuronal population

inferredcites →https://doi.org/10.1038/nn.3225openalex-snapshot

The spatial structure of a nonlinear receptive field

inferredcites →https://doi.org/10.1038/nn.3534openalex-snapshot

Origin and effect of phototransduction noise in primate cone photoreceptors

inferredcites →https://doi.org/10.1073/pnas.1207035109openalex-snapshot

Retinal prosthetic strategy with the capacity to restore normal vision

inferredcites →https://doi.org/10.1073/pnas.1221214110openalex-snapshot

Intermediate intrinsic diversity enhances neural population coding

inferredcites →https://doi.org/10.1080/713663221openalex-snapshot

A simple white noise analysis of neuronal light responses

inferredcites →https://doi.org/10.1080/net.12.2.199.213openalex-snapshot

A simple white noise analysis of neuronal light responses

inferredcites →https://doi.org/10.1085/jgp.74.2.275openalex-snapshot

Receptive field mechanisms of cat X and Y retinal ganglion cells.

inferredcites →https://doi.org/10.1088/0954-898x/15/4/002openalex-snapshot

Maximum likelihood estimation of cascade point-process neural encoding models

inferredcites →https://doi.org/10.1098/rspb.1998.0303openalex-snapshot

Independent component filters of natural images compared with simple cells in primary visual cortex

inferredcites →https://doi.org/10.1109/tns.2004.832706openalex-snapshot

What does the eye tell the brain?: Development of a system for the large-scale recording of retinal output activity

inferredcites →https://doi.org/10.1113/jphysiol.1966.sp008107openalex-snapshot

The contrast sensitivity of retinal ganglion cells of the cat

inferredcites →https://doi.org/10.1113/jphysiol.1976.sp011595openalex-snapshot

Linear and nonlinear spatial subunits in Y cat retinal ganglion cells.

inferredcites →https://doi.org/10.1113/jphysiol.1978.sp012571openalex-snapshot

The effect of contrast on the transfer properties of cat retinal ganglion cells.

inferredcites →https://doi.org/10.1113/jphysiol.1983.sp014806openalex-snapshot

Spatio‐temporal interactions in cat retinal ganglion cells showing linear spatial summation.

inferredcites →https://doi.org/10.1113/jphysiol.1984.sp015518openalex-snapshot

The photocurrent, noise and spectral sensitivity of rods of the monkey Macaca fascicularis.

inferredcites →https://doi.org/10.1113/jphysiol.1987.sp016531openalex-snapshot

The dynamics of the cat retinal X cell centre.

inferredcites →https://doi.org/10.1113/jphysiol.1990.sp018193openalex-snapshot

Visual transduction in cones of the monkey Macaca fascicularis.

inferredcites →https://doi.org/10.1113/jphysiol.2008.156638openalex-snapshot

Functional circuitry of visual adaptation in the retina

inferredcites →https://doi.org/10.1126/science.175.4025.1008openalex-snapshot

Lateral Interactions at Inner Plexiform Layer of Vertebrate Retina: Antagonistic Responses to Change

inferredcites →https://doi.org/10.1126/science.2063199openalex-snapshot

Reading a Neural Code

inferredcites →https://doi.org/10.1146/annurev.neuro.24.1.1193openalex-snapshot

Natural Image Statistics and Neural Representation

inferredcites →https://doi.org/10.1152/jn.01091.2006openalex-snapshot

Functional Circuitry for Peripheral Suppression in Mammalian Y-Type Retinal Ganglion Cells

inferredcites →https://doi.org/10.1152/jn.01175.2004openalex-snapshot

Fidelity of the Ensemble Code for Visual Motion in Primate Retina

inferredcites →https://doi.org/10.1152/jn.1953.16.1.37openalex-snapshot

DISCHARGE PATTERNS AND FUNCTIONAL ORGANIZATION OF MAMMALIAN RETINA

inferredcites →https://doi.org/10.1152/jn.1964.27.6.1154openalex-snapshot

RECEPTIVE FIELDS OF OPTIC TRACT AXONS AND LATERAL GENICULATE CELLS: PERIPHERAL EXTENT AND BARBITURATE SENSITIVITY

inferredcites →https://doi.org/10.1152/jn.1965.28.3.555openalex-snapshot

EVIDENCE THAT McILWAIN'S PERIPHERY EFFECT IS NOT A STRAY LIGHT ARTIFACT

inferredcites →https://doi.org/10.1371/journal.pcbi.1004141openalex-snapshot

The Equivalence of Information-Theoretic and Likelihood-Based Methods for Neural Dimensionality Reduction

inferredcites →https://doi.org/10.1523/jneurosci.0434-11.2011openalex-snapshot

Temporal Precision in the Visual Pathway through the Interplay of Excitation and Stimulus-Driven Suppression

inferredcites →https://doi.org/10.1523/jneurosci.18-06-02200.1998openalex-snapshot

Refractoriness and Neural Precision

inferredcites →https://doi.org/10.1523/jneurosci.18-23-10090.1998openalex-snapshot

The Power Ratio and the Interval Map: Spiking Models and Extracellular Recordings

inferredcites →https://doi.org/10.1523/jneurosci.19-22-09756.1999openalex-snapshot

Functional Circuitry of the Retinal Ganglion Cell's Nonlinear Receptive Field

inferredcites →https://doi.org/10.1523/jneurosci.21-15-05794.2001openalex-snapshot

Effects of Remote Stimulation on the Mean Firing Rate of Cat Retinal Ganglion Cells

inferredcites →https://doi.org/10.1523/jneurosci.21-19-07447.2001openalex-snapshot

Bipolar Cells Contribute to Nonlinear Spatial Summation in the Brisk-Transient (Y) Ganglion Cell in Mammalian Retina

inferredcites →https://doi.org/10.1523/jneurosci.22-07-02737.2002openalex-snapshot

Functional Asymmetries in ON and OFF Ganglion Cells of Primate Retina

inferredcites →https://doi.org/10.1523/jneurosci.23-04-01506.2003openalex-snapshot

Slow Na+Inactivation and Variance Adaptation in Salamander Retinal Ganglion Cells

inferredcites →https://doi.org/10.1523/jneurosci.3305-05.2005openalex-snapshot

Prediction and Decoding of Retinal Ganglion Cell Responses with a Probabilistic Spiking Model

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/10.7551/mitpress/9780262518420.003.0013openalex-snapshot

Possible Principles Underlying the Transformations of Sensory Messages

inferredcites →https://doi.org/10.7554/elife.05241openalex-snapshot

Mapping nonlinear receptive field structure in primate retina at single cone resolution

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cne.24840openalex-snapshot

Wide‐field amacrine cell inputs to ON parasol ganglion cells in macaque retina

inferred← citeshttps://doi.org/10.1007/s11229-020-02713-0openalex-snapshot

Prediction versus understanding in computationally enhanced neuroscience

inferred← citeshttps://doi.org/10.1016/b978-0-12-819896-4.00008-1openalex-snapshot

Texture sensitivity

inferred← citeshttps://doi.org/10.1016/b978-0-443-13820-1.00166-3openalex-snapshot

Information Processing: Ganglion Cells

inferred← citeshttps://doi.org/10.1016/j.neunet.2020.01.033openalex-snapshot

Reconstruction of natural visual scenes from neural spikes with deep neural networks

inferred← citeshttps://doi.org/10.1016/j.neuron.2016.05.006openalex-snapshot

Synaptic Rectification Controls Nonlinear Spatial Integration of Natural Visual Inputs

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.neuron.2021.03.015openalex-snapshot

Nonlinear spatial integration in retinal bipolar cells shapes the encoding of artificial and natural stimuli

inferred← citeshttps://doi.org/10.1016/j.patter.2021.100350openalex-snapshot

Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks

inferred← citeshttps://doi.org/10.1016/j.tins.2022.03.005openalex-snapshot

Retinal receptive-field substructure: scaffolding for coding and computation

inferred← citeshttps://doi.org/10.1016/j.visres.2026.108763openalex-snapshot

Retinal processing of natural scenes: challenges ahead

inferred← citeshttps://doi.org/10.1038/s41467-017-00156-9openalex-snapshot

Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization

inferred← citeshttps://doi.org/10.1038/s41467-019-11734-4openalex-snapshot

Neural sensitization improves encoding fidelity in the primate retina

inferred← citeshttps://doi.org/10.1038/s41467-020-18436-2openalex-snapshot

Ignoring correlated activity causes a failure of retinal population codes

inferred← citeshttps://doi.org/10.1038/s41467-021-22042-1openalex-snapshot

Linear and nonlinear chromatic integration in the mouse retina

inferred← citeshttps://doi.org/10.1038/s41467-022-33242-8openalex-snapshot

Context-dependent selectivity to natural images in the retina

inferred← citeshttps://doi.org/10.1038/s41467-024-46348-yopenalex-snapshot

Distributed feature representations of natural stimuli across parallel retinal pathways

inferred← citeshttps://doi.org/10.1038/s41467-024-52304-7openalex-snapshot

Fixational eye movements enhance the precision of visual information transmitted by the primate retina

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/10.1038/s41593-018-0284-0openalex-snapshot

Stimulus- and goal-oriented frameworks for understanding natural vision

inferred← citeshttps://doi.org/10.1038/s41598-024-75471-5openalex-snapshot

Plaid masking explained with input-dependent dendritic nonlinearities

inferred← citeshttps://doi.org/10.1088/1741-2552/aaf270openalex-snapshot

Simulation of visual perception and learning with a retinal prosthesis

inferred← citeshttps://doi.org/10.1093/acrefore/9780190264086.013.68openalex-snapshot

The Functional Organization of Vertebrate Retinal Circuits for Vision

inferred← citeshttps://doi.org/10.1101/153759openalex-snapshot

Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons

inferred← citeshttps://doi.org/10.1101/2020.06.11.145904openalex-snapshot

A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons

inferred← citeshttps://doi.org/10.1101/2020.08.07.240762openalex-snapshot

Functional Organization of Midget and Parasol Ganglion Cells in the Human Retina

inferred← citeshttps://doi.org/10.1101/2021.02.13.431101openalex-snapshot

Multiple time scales of adaptation allow cones to encode the inputs created by visual exploration of natural scenes

inferred← citeshttps://doi.org/10.1101/2021.10.01.462157openalex-snapshot

Context-dependent selectivity to natural scenes in the retina

inferred← citeshttps://doi.org/10.1101/2022.08.27.505287openalex-snapshot

A computational framework linking synaptic adaptation to circuit behaviors in the early visual system

inferred← citeshttps://doi.org/10.1101/2023.08.12.552902openalex-snapshot

Fixational Eye Movements Enhance the Precision of Visual Information Transmitted by the Primate Retina

inferred← citeshttps://doi.org/10.1101/2024.03.06.583740openalex-snapshot

A systematic comparison of predictive models on the retina

inferred← citeshttps://doi.org/10.1101/2024.03.22.586353openalex-snapshot

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

inferred← citeshttps://doi.org/10.1101/2025.09.08.674839openalex-snapshot

Interpreting convolutional neural networks to study wide-field amacrine cell inhibition in the retina

inferred← citeshttps://doi.org/10.1101/463422openalex-snapshot

A comparison of deep learning and linear-nonlinear cascade approaches to neural encoding

inferred← citeshttps://doi.org/10.1101/496422openalex-snapshot

Inference of Nonlinear Spatial Subunits in Primate Retina with Spike-Triggered Clustering

inferred← citeshttps://doi.org/10.1101/780478openalex-snapshot

Hue tuning curves in V4 change with visual context

inferred← citeshttps://doi.org/10.1109/tcds.2022.3203422openalex-snapshot

Enhancing Visual Coding Through Collaborative Perception

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Multidimensional stimulus encoding in the auditory nerve of the barn owl

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Explainable machine-learning model for coronary artery disease diagnosis in non-AMI patients: integrating inflammatory and traditional risk factors

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Retinal Encoding of Natural Scenes

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Two Sides of the Same Coin: Efficient and Predictive Neural Coding

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Depth variation and stereo processing tasks in natural scenes

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The statistics of how natural images drive the responses of neurons

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Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains

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Inferring hidden structure in multilayered neural circuits

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Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration

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Efficient coding of natural scenes improves neural system identification

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Decoding dynamic visual scenes across the brain hierarchy

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Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural movies

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/10.1523/eneuro.0166-17.2017openalex-snapshot

Closed-Loop Estimation of Retinal Network Sensitivity by Local Empirical Linearization

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Predicting and Manipulating Cone Responses to Naturalistic Inputs

inferred← citeshttps://doi.org/10.1523/jneurosci.1091-22.2023openalex-snapshot

High-Fidelity Reproduction of Visual Signals by Electrical Stimulation in the Central Primate Retina

inferred← citeshttps://doi.org/10.1523/jneurosci.1642-19.2019openalex-snapshot

Multiple Timescales Account for Adaptive Responses across Sensory Cortices

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Nonlinear Spatial Integration Underlies the Diversity of Retinal Ganglion Cell Responses to Natural Images

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Modern Machine Learning as a Benchmark for Fitting Neural Responses

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A theoretical model reveals specialized synaptic depressions and temporal frequency tuning in retinal parallel channels

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Interpretable machine learning for prediction of clinical outcomes in acute ischemic stroke

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Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing

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Capturing Multiple Timescales of Adaptation to Second-Order Statistics With Generalized Linear Models: Gain Scaling and Fractional Differentiation

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A Model for Image Segmentation in Retina

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Nonlinearities in bipolar cells and their role for encoding visual signals

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How nonlinear processing shapes natural stimulus encoding in the retina

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Functional Decomposition of Retinal Ganglion Cell Receptive Fields

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Online characterization of the retinal network

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Sensory coding in strongly correlated neural populations

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Structure and sensitivity of neural population responses in the retina

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Encoding surprise by retinal ganglion cells

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Receptive field center-surround interactions mediate context-dependent spatial contrast encoding in the retina

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Inference of nonlinear receptive field subunits with spike-triggered clustering

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Inferring synaptic inputs from spikes with a conductance-based neural encoding model

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Selectivity to approaching motion in retinal inputs to the dorsal visual pathway

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