Evidence map›Paper›PMID 35874430›Full record

ArticleFrontiers in neural circuits2022

Toward Naturalistic Neuroscience of Navigation: Opportunities in Coral Reef Fish.

Shachar Givon, Renanel Pickholtz, Eliezer Y Pickholtz, Ohad Ben-Shahar, Moshe Kiflawi, Ronen Segev

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2022. 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. Article
  2. Article
  3. Article
  4. Article
  5. A perspective on neuroethology: what the past teaches us about the future of neuroethology.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2024
    Review
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

6 authors.

Shachar GivonDepartment of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Renanel PickholtzSchool of Zoology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Eliezer Y PickholtzIndependent Researcher, East Brunswick, NJ, United States.
Ohad Ben-ShaharZlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beersheba, Israel.
Moshe KiflawiDepartment of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.
Ronen SegevDepartment of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to navigate in the world is crucial to many species. One of the most fundamental unresolved issues in understanding animal navigation is how the brain represents spatial information. Although navigation has been studied extensively in many taxa, the key efforts to determine the neural basis of navigation have focused on mammals, usually in lab experiments, where the allocated space is typically very small; e.g., up to one order of magnitude the size of the animal, is limited by artificial walls, and contains only a few objects. This type of setting is vastly different from the habitat of animals in the wild, which is open in many cases and is virtually limitless in size compared to its inhabitants. Thus, a fundamental open question in animal navigation is whether small-scale, spatially confined, and artificially crafted lab experiments indeed reveal how navigation is enacted in the real world. This question is difficult to study given the technical problems associated with

Indexed as

Coral ReefsFishesAnimalsMammalscoral reefelectrophysiologynavigationrabbitfishSiganus rivulatus

Identifiers

PMID35874430
PMCPMC9298462

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.