Evidence map›Paper›PMID 35269432›Full record

ReviewCells2022

Transience of the Retinal Output Is Determined by a Great Variety of Circuit Elements.

Alma Ganczer, Gergely Szarka, Márton Balogh, Gyula Hoffmann, Ádám Jonatán Tengölics, Garrett Kenyon, Tamás Kovács-Öller, Béla Völgyi

Abstract readReview
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

8 authors.

Alma GanczerSzentágothai Research Centre, University of Pécs, H-7624 Pécs, Hungary.
Gergely SzarkaSzentágothai Research Centre, University of Pécs, H-7624 Pécs, Hungary.
Márton BaloghSzentágothai Research Centre, University of Pécs, H-7624 Pécs, Hungary.
Gyula HoffmannSzentágothai Research Centre, University of Pécs, H-7624 Pécs, Hungary.
Ádám Jonatán TengölicsSzentágothai Research Centre, University of Pécs, H-7624 Pécs, Hungary.
Garrett KenyonLos Alamos National Laboratory, Computer & Computational Science Division, Los Alamos, NM 87545, USA.
Tamás Kovács-ÖllerSzentágothai Research Centre, University of Pécs, H-7624 Pécs, Hungary.ORCID 0000-0002-3353-4485
Béla VölgyiSzentágothai Research Centre, University of Pécs, H-7624 Pécs, Hungary.ORCID 0000-0001-7481-390X

Funding

ERA-NET COFUND 2019-2.1.7-ERANET-2021-00018European Union and the State of Hungary, co-financed by the European Social Fund TKP2020 IKA-07 National Excellence ProgramMinistry of Human Capacities ÚNKP-20-3-I-PTE-472Ministry of Human Capacities ÚNKP-20-3-I-PTE-782National Research, Development and Innovation Office 2017-1.2.1.-NKP-2017National Research, Development and Innovation Office OTKA NN128293
6 · The paper itself

Abstract

Retinal ganglion cells (RGCs) encrypt stimulus features of the visual scene in action potentials and convey them toward higher visual centers in the brain. Although there are many visual features to encode, our recent understanding is that the ~46 different functional subtypes of RGCs in the retina share this task. In this scheme, each RGC subtype establishes a separate, parallel signaling route for a specific visual feature (e.g., contrast, the direction of motion, luminosity), through which information is conveyed. The efficiency of encoding depends on several factors, including signal strength, adaptational levels, and the actual efficacy of the underlying retinal microcircuits. Upon collecting inputs across their respective receptive field, RGCs perform further analysis (e.g., summation, subtraction, weighting) before they generate the final output spike train, which itself is characterized by multiple different features, such as the number of spikes, the inter-spike intervals, response delay, and the rundown time (transience) of the response. These specific kinetic features are essential for target postsynaptic neurons in the brain in order to effectively decode and interpret signals, thereby forming visual perception. We review recent knowledge regarding circuit elements of the mammalian retina that participate in shaping RGC response transience for optimal visual signaling.

Indexed as

RetinaRetinal Ganglion CellsAction PotentialsAnimalsBrainMammalsVisual Perceptionamacrine cellbipolar cellganglion cellganglion cell layerinner plexiform layerouter plexiform layerparallel signalingphotoreceptorretina

Identifiers

PMID35269432
PMCPMC8909309

What OpenQuestion holds

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Read underepoch 390

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.