Evidence map›Paper›PMID 29982706›Full record

ReviewIntegrative and comparative biology2018

Behavior, Electrophysiology, and Robotics Experiments to Study Lateral Line Sensing in Fishes.

Melanie Haehnel-Taguchi, Otar Akanyeti, James C Liao

Abstract readReview
In one paragraph

Review in Integrative and comparative biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

Melanie Haehnel-TaguchiFaculty of Biology, Albert-Ludwigs Universität Freiburg, Hauptstraße 1, Freiburg D-79104, Germany.
Otar AkanyetiDepartment of Computer Science, Aberystwyth University, Penglais Campus, Aberystwyth SY23 3FL, UK.
James C LiaoThe Whitney Laboratory for Marine Bioscience, Department of Biology, University of Florida, St. Augustine, FL 32080, USA.

Funding

Organization and function of hair cell afferent neuronsR01DC010809 · NIDCD · UNIVERSITY OF FLORIDA · PI LIAO, JAMES CHIENAN · 2010 to 2017
$1.8M
NIDCD NIH HHS R01 DC010809
6 · The paper itself

Abstract

The lateral line system is a sensory system unique to fishes and amphibians. It is composed of distributed mechanosensory hair cell organs on the head and body (neuromasts), which are sensitive to pressure gradients and water movements. Over the last decade, we have pursued an interdisciplinary approach by combining behavioral, electrophysiology, and robotics experiments to study this fascinating sensory system. In behavioral and electrophysiology experiments, we have studied the larval lateral line system in the model genetic organism, zebrafish (Danio rerio). We found that the lateral line system, even in 5-day-old larvae, is involved in an array of behaviors that are critical to survival, and the deflection of a single neuromast can elicit a swimming response. In robotics experiments, we used a range of physical models with distributed pressure sensors to better understand the hydrodynamic environments from the local perspective of a fish or robot. So far, our efforts have focused on extracting control-related information for a range of application scenarios including characterizing unsteady flows such as Kármán vortex streets for station holding. We also used robot models to test biological hypotheses on how morphology and movement of fishes affect lateral line sensing. Overall, with this review we aim to increase the visibility and accessibility of this multi-disciplinary research approach.

Indexed as

Feedback, SensoryRoboticsAnimalsElectrophysiological PhenomenaLateral Line SystemMechanoreceptorsSwimmingZebrafish

Identifiers

PMID29982706
PMCPMC6204992

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.