Evidence map›Paper›PMID 23426692›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013

Dendritic end inhibition in large-field visual neurons of the fly.

Yishai M Elyada, Juergen Haag, Alexander Borst

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Quantitative Characterization of Output from the Directionally Selective Visual Interneuron H1 in the Grey Flesh FlyJournal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2021
    Article
  2. Review
  3. Near-optimal decoding of transient stimuli from coupled neuronal subpopulations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
    Article
  4. From dendritic compartments to neuronal networks: a multilevel analysis of motion vision.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 2 countries.

Yishai M ElyadaMax Planck Florida Institute, 1 Max Planck Way, Jupiter, FL 33458, USA. yishai.elyada@mpfi.org
Juergen Haag
Alexander Borst
Max Planck Society · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extraction of optic flow fields by visual systems is crucial for course stabilization during locomotion, and relies on feedforward and lateral integration of visual inputs. Here we report a novel form of systemic, motion-sensitive lateral suppression in the dendrites of large, flow-field-selective neurons in the fly's visual lobes. Using in vivo Calcium-imaging and intracellular recordings, we demonstrate that responses in dendrites, but not axon terminals, are end inhibited by flanking gratings both in the vertical and horizontal systems. We show evidence for a mechanism involving wide-field dendritic inhibition that exceeds the retinotopic spatial extent of the dendrites. Using compartmental modeling, we point out a possible function in enhancing selectivity for optic flow fields. Our results suggest that lateral suppression is a common element serving similar functional requirements in different visual systems.

Indexed as

DipteraAnimalsDendritesFemaleNeural InhibitionNeuronsPhotic StimulationVisual FieldsVisual PathwaysVisual Perception

Identifiers

PMID23426692
PMCPMC6619518
OpenAlexW1974333727

What OpenQuestion holds

Textmetadata
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.