Evidence map›Paper›PMID 27841746›Full record

ArticleeLife2016

Divisive suppression explains high-precision firing and contrast adaptation in retinal ganglion cells.

Yuwei Cui, Yanbin V Wang, Silvia J H Park, Jonathan B Demb, Daniel A Butts

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  10. Predicting and Manipulating Cone Responses to Naturalistic Inputs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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  15. Simulated Saccadic Stimuli Suppress ON-Type Direction-Selective Retinal Ganglion Cells via Glycinergic Inhibition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
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  16. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuwei CuiDepartment of Biology, University of Maryland, College Park, United States.
Yanbin V WangDepartment of Ophthalmology and Visual Science, Yale University, New Haven, United States.
Silvia J H ParkDepartment of Ophthalmology and Visual Science, Yale University, New Haven, United States.
Jonathan B DembDepartment of Ophthalmology and Visual Science, Yale University, New Haven, United States.
Daniel A ButtsDepartment of Biology, University of Maryland, College Park, United States.ORCID 0000-0002-0158-5317

Funding

Yale Core Grant for Vision ResearchP30EY026878 · NEI · YALE UNIVERSITY · PI In-Jung Kim · 2016 to 2026
$7.1M
Neural Circuits and Synapses for Early Visual ProcessingR01EY014454 · NEI · YALE UNIVERSITY · PI DEMB, JONATHAN B · 2005 to 2022
$6.7M
CRCNS: Biophysical properties of parallel neural circuits serving night visionR01EY021372 · NEI · UNIV OF MARYLAND, COLLEGE PARK · PI DEMB, JONATHAN B, SINGER, JOSHUA H · 2010 to 2016
$2.1M
NEI NIH HHS P30 EY026878NEI NIH HHS R01 EY014454NEI NIH HHS R01 EY021372
6 · The paper itself

Abstract

Visual processing depends on specific computations implemented by complex neural circuits. Here, we present a circuit-inspired model of retinal ganglion cell computation, targeted to explain their temporal dynamics and adaptation to contrast. To localize the sources of such processing, we used recordings at the levels of synaptic input and spiking output in the in vitro mouse retina. We found that an ON-Alpha ganglion cell's excitatory synaptic inputs were described by a divisive interaction between excitation and delayed suppression, which explained nonlinear processing that was already present in ganglion cell inputs. Ganglion cell output was further shaped by spike generation mechanisms. The full model accurately predicted spike responses with unprecedented millisecond precision, and accurately described contrast adaptation of the spike train. These results demonstrate how circuit and cell-intrinsic mechanisms interact for ganglion cell function and, more generally, illustrate the power of circuit-inspired modeling of sensory processing.

Indexed as

Action PotentialsModels, NeurologicalVisual PerceptionAdaptation, OcularAnimalsMiceRetinal Ganglion Cellsadaptationcomputationmouseneurosciencenormalizationprecisionretinal circuitry

Identifiers

PMID27841746
PMCPMC5108594

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.