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A Unified Theory Of Early Visual Representations From Retina To Cortex Through Anatomically Constrained Deep CNNs

https://doi.org/10.1101/511535
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What this work says

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

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Cortical neurons: Isolation of contrast gain control
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A Pixel-Encoder Retinal Ganglion Cell with Spatially Offset Excitatory and Inhibitory Receptive Fields
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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/s0042-6989(97)00169-7openalex-snapshot
Sparse coding with an overcomplete basis set: A strategy employed by V1?
inferredcites →https://doi.org/10.1017/s0952523800009640openalex-snapshot
Normalization of cell responses in cat striate cortex
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/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1038/nn0901-877openalex-snapshot
The fundamental plan of the 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.1211547109openalex-snapshot
The most numerous ganglion cell type of the mouse retina is a selective feature detector
inferredcites →https://doi.org/10.1073/pnas.1403112111openalex-snapshot
Performance-optimized hierarchical models predict neural responses in higher visual cortex
inferredcites →https://doi.org/10.1073/pnas.1711114115openalex-snapshot
Toward a unified theory of efficient, predictive, and sparse coding
inferredcites →https://doi.org/10.1080/09548980500290047openalex-snapshot
Is the early visual system optimised to be energy efficient?
inferredcites →https://doi.org/10.1080/09548980802503139openalex-snapshot
Computing linear approximations to nonlinear neuronal response
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/10.1101/458737openalex-snapshot
The emergence of multiple retinal cell types through efficient coding of natural movies
inferredcites →https://doi.org/10.1103/physrevx.8.031003openalex-snapshot
Classification and Geometry of General Perceptual Manifolds
inferredcites →https://doi.org/10.1109/jrproc.1959.287207openalex-snapshot
What the Frog's Eye Tells the Frog's Brain
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/10.1162/neco_a_01119openalex-snapshot
Learning Data Manifolds with a Cutting Plane Method
inferredcites →https://doi.org/10.1167/6.4.13openalex-snapshot
Spike-triggered neural characterization
inferredcites →https://doi.org/10.1371/journal.pcbi.1006291openalex-snapshot
Inferring hidden structure in multilayered neural circuits
inferredcites →https://doi.org/10.1371/journal.pcbi.1006897openalex-snapshot
Deep convolutional models improve predictions of macaque V1 responses to natural images
inferredcites →https://doi.org/10.1523/jneurosci.2982-08.2008openalex-snapshot
Y-Cell Receptive Field and Collicular Projection of Parasol Ganglion Cells in Macaque Monkey 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/10.48550/arxiv.1605.07332openalex-snapshot
Relevant sparse codes with variational information bottleneck
inferredcites →https://doi.org/10.48550/arxiv.1606.01167openalex-snapshot
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images
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.31557openalex-snapshot
Sensory cortex is optimized for prediction of future input
inferredcites →https://doi.org/10.7554/elife.31557.035openalex-snapshot
Author response: Sensory cortex is optimized for prediction of future input

What points at this work

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

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Filter, Detector, Predictor: The expanding repertoire of retinal computation in vertebrates
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