Evidence map›Paper›PMID 25974721›Full record

ArticleScientific reports2015

Noise-robust recognition of wide-field motion direction and the underlying neural mechanisms in Drosophila melanogaster.

Yoshinori Suzuki, Hideaki Ikeda, Takuya Miyamoto, Hiroyoshi Miyakawa, Yoichi Seki, Toru Aonishi, Takako Morimoto

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Spectral response properties of higher visual neurons in Drosophila melanogaster.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2020
    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

7 authors.

Yoshinori Suzuki1] Interdisciplinary Graduate School of Science and Engineering; Tokyo Institute of Technology; Yokohama, Kanagawa, 226-8502, Japan [2] Japan Society for the Promotion of Science, Tokyo, Japan [3] School of Life Sciences; Tokyo University of Pharmacy and Life Sciences, Hachio-ji, Tokyo, 192-0392, Japan.
Hideaki IkedaInterdisciplinary Graduate School of Science and Engineering; Tokyo Institute of Technology; Yokohama, Kanagawa, 226-8502, Japan.
Takuya MiyamotoSchool of Life Sciences; Tokyo University of Pharmacy and Life Sciences, Hachio-ji, Tokyo, 192-0392, Japan.
Hiroyoshi MiyakawaSchool of Life Sciences; Tokyo University of Pharmacy and Life Sciences, Hachio-ji, Tokyo, 192-0392, Japan.
Yoichi SekiSchool of Life Sciences; Tokyo University of Pharmacy and Life Sciences, Hachio-ji, Tokyo, 192-0392, Japan.
Toru AonishiInterdisciplinary Graduate School of Science and Engineering; Tokyo Institute of Technology; Yokohama, Kanagawa, 226-8502, Japan.
Takako MorimotoSchool of Life Sciences; Tokyo University of Pharmacy and Life Sciences, Hachio-ji, Tokyo, 192-0392, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Appropriate and robust behavioral control in a noisy environment is important for the survival of most organisms. Understanding such robust behavioral control has been an attractive subject in neuroscience research. Here, we investigated the processing of wide-field motion with random dot noise at both the behavioral and neuronal level in Drosophila melanogaster. We measured the head yaw optomotor response (OMR) and the activity of motion-sensitive neurons, horizontal system (HS) cells, with in vivo whole-cell patch clamp recordings at various levels of noise intensity. We found that flies had a robust sensation of motion direction under noisy conditions, while membrane potential changes of HS cells were not correlated with behavioral responses. By applying signal classification theory to the distributions of HS cell responses, however, we found that motion direction under noise can be clearly discriminated by HS cells, and that this discrimination performance was quantitatively similar to that of OMR. Furthermore, we successfully reproduced HS cell activity in response to noisy motion stimuli with a local motion detector model including a spatial filter and threshold function. This study provides evidence for the physiological basis of noise-robust behavior in a tiny insect brain.

Indexed as

AnimalsBehavior, AnimalBrainComputer SimulationDrosophila melanogasterEnvironmentFlight, AnimalMotion PerceptionNeuronsNoisePatch-Clamp Techniques

Identifiers

PMID25974721
PMCPMC4431354

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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.