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A CNN framework for modeling parallel processing in a mammalian 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/10.1001/archopht.1989.01070020357018openalex-snapshot
The Retina: An Approachable Part of the Brain
inferredcites →https://doi.org/10.1002/(sici)1097-007x(199601/02)24:1<127::aid-cta909>3.0.co;2-8openalex-snapshot
DYNAMIC ANALOGIC CNN ALGORITHMS FOR A COMPLEX RECOGNITION TASK—A FIRST STEP TOWARDS A BIONIC EYEGLASS
inferredcites →https://doi.org/10.1002/(sici)1097-007x(199605/06)24:3<301::aid-cta918>3.0.co;2-2openalex-snapshot
Cellular neural network realizations of neuron models with diverse spiking patterns
inferredcites →https://doi.org/10.1002/(sici)1097-007x(199605/06)24:3<315::aid-cta919>3.0.co;2-nopenalex-snapshot
Methods for constructing physiologically motivated neuromorphic models in CNNs
inferredcites →https://doi.org/10.1002/cne.902800107openalex-snapshot
Morphologies of rabbit retinal ganglion cells with concentric receptive fields
inferredcites →https://doi.org/10.1002/cta.151openalex-snapshot
The network behind spatio‐temporal patterns: building low‐complexity retinal models in CNN based on morphology, pharmacology and physiology
inferredcites →https://doi.org/10.1002/cta.4490230602openalex-snapshot
The analogic cellular neural network as a bionic eye
inferredcites →https://doi.org/10.1016/0042-6989(79)90113-5openalex-snapshot
Center-surround organisation and interactions in receptive fields of goldfish tectal units
inferredcites →https://doi.org/10.1016/0278-4327(84)90011-7openalex-snapshot
Chapter 9 Visual adaptation and retinal gain controls
inferredcites →https://doi.org/10.1016/0278-4327(88)90008-9openalex-snapshot
Chapter 6 Neuron network in catfish retina: 1968–1987
inferredcites →https://doi.org/10.1016/0959-4388(92)90181-jopenalex-snapshot
Feedback connections and operation of the outer plexiform layer of the retina
inferredcites →https://doi.org/10.1016/s0042-6989(96)00247-7openalex-snapshot
A subspace reverse-correlation technique for the study of visual neurons
inferredcites →https://doi.org/10.1016/s0896-6273(00)80478-xopenalex-snapshot
Extreme Diversity among Amacrine Cells: Implications for Function
inferredcites →https://doi.org/10.1016/s0896-6273(00)80700-xopenalex-snapshot
The Neural Code of the Retina
inferredcites →https://doi.org/10.1023/a:1008840709467openalex-snapshot
How Neural Interactions Form Neural Responses in the Salamander Retina
inferredcites →https://doi.org/10.1038/35069068openalex-snapshot
Vertical interactions across ten parallel, stacked representations in the mammalian retina
inferredcites →https://doi.org/10.1038/scientificamerican0173-70openalex-snapshot
The Control of Sensitivity in the Retina
inferredcites →https://doi.org/10.1085/jgp.63.1.88openalex-snapshot
Control of Retinal Sensitivity
inferredcites →https://doi.org/10.1109/31.7600openalex-snapshot
Cellular neural networks: theory
inferredcites →https://doi.org/10.1109/6.490053openalex-snapshot
Toward an artificial eye
inferredcites →https://doi.org/10.1109/6.490056openalex-snapshot
Ocular implants for the blind
inferredcites →https://doi.org/10.1109/81.222795openalex-snapshot
The CNN paradigm
inferredcites →https://doi.org/10.1109/81.222799openalex-snapshot
The use of CNN models in the subcortical visual pathway
inferredcites →https://doi.org/10.1109/82.222815openalex-snapshot
The CNN universal machine: an analogic array computer
inferredcites →https://doi.org/10.1109/cnna.1996.566582openalex-snapshot
CNN-based retinal model uncovers a new form of edge enhancement in biological visual processing
inferredcites →https://doi.org/10.1109/cnna.2000.876839openalex-snapshot
A qualitative model-framework for spatio-temporal effects in vertebrate retinas
inferredcites →https://doi.org/10.1109/cnna.2000.876847openalex-snapshot
A stored program 2/sup nd/ order/3-layer complex cell CNN-UM
inferredcites →https://doi.org/10.1109/icecs.1998.813304openalex-snapshot
A 64×64 CNN universal chip with analog and digital I/O
inferredcites →https://doi.org/10.1109/iscas.2001.921315openalex-snapshot
Implementing a retinal visual language in CNN: a neuromorphic study
inferredcites →https://doi.org/10.1109/iscas.2002.1010414openalex-snapshot
A realistic mammalian retinal model implemented on complex cell CNN universal machine
inferredcites →https://doi.org/10.1113/jphysiol.1984.sp015318openalex-snapshot
A quantitative analysis of interactions between photoreceptors in the salamander (Ambystoma) retina.
inferredcites →https://doi.org/10.1152/jn.1991.65.5.1197openalex-snapshot
Input-output relations of the feedback synapse between horizontal cells and cones in the tiger salamander retina
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.1994.6.4.559openalex-snapshot
What Is the Goal of Sensory Coding?
inferredcites →https://doi.org/10.1523/jneurosci.06-01-00001.1986openalex-snapshot
A functional organization of ON and OFF pathways in the rabbit retina
inferredcites →https://doi.org/10.1523/jneurosci.18-09-03451.1998openalex-snapshot
Response to Change Is Facilitated by a Three-Neuron Disinhibitory Pathway in the Tiger Salamander Retina
inferredcites →https://doi.org/10.1523/jneurosci.20-05-01941.2000openalex-snapshot
Three Levels of Lateral Inhibition: A Space–Time Study of the Retina of the Tiger Salamander
inferredcites →https://doi.org/10.2307/1423238openalex-snapshot
The Retina: An Approachable Part of the Brain

What points at this work

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

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Virtual Retina: A biological retina model and simulator, with contrast gain control
inferred← citeshttps://doi.org/10.1007/s10827-011-0322-3openalex-snapshot
Modelling intrinsic electrophysiological properties of ON and OFF retinal ganglion cells
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Implementation of a CNN-based retinomorphic model on a high performance reconfigurable computer
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Predicting visual perceivability of scene objects through spatio-temporal modeling of retinal receptive fields
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Numerical study of short-term afterimages and associate properties in foveal vision
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Nonlinear Systems for Image Processing
inferred← citeshttps://doi.org/10.1088/1741-2560/9/6/066004openalex-snapshot
Artificial retina: the multichannel processing of the mammalian retina achieved with a neuromorphic asynchronous light acquisition device
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Cellular neural networks: a paradigm for nonlinear spatio-temporal processing
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Bionic eyeglass: An audio guide for visually impaired
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Real-time emulation of dynamic features of sustained and transient channels in vertebrate retina
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One Application of CNN in Word-Processing
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Retina neural mechanism based edge detection model and its computational design
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Towards a mobile navigation device
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A CNN motivated array computing model
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Cellular wave computers and CNN technology - a SoC architecture with xK processors and sensor arrays
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Configurable multi-layer CNN-UM emulator on FPGA using distributed arithmetic
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Model and hardware emulation of the first synapse of the retina using Discrete-Time Cellular Neural Networks
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An approximate retina model with cascade structures
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Bionic eyeglass: The first prototype A personal navigation device for visually impaired - A review
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A realistic mammalian retinal model implemented on complex cell CNN universal machine
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PARALLEL VISUAL PROCESSING: A TUTORIAL OF RETINAL FUNCTION
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Zellulare Nichtlineare Netzwerke: Anwendungen in der Informationstechnologie
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