Evidence map›Paper›PMID 29460143›Full record

ArticleJournal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology2018

Listening in the bog: II. Neural correlates for acoustic interactions and spacing between Sphagniana sphagnorum males.

Konstantinos Kostarakos, Heiner Römer

Abstract read
In one paragraph

Article in Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Konstantinos KostarakosInstitute of Zoology, University of Graz, Universitaetsplatz 2, 8010, Graz, Austria. konstantinos.kostarakos@uni-graz.at.ORCID http://orcid.org/0000-0003-3337-049X
Heiner RömerInstitute of Zoology, University of Graz, Universitaetsplatz 2, 8010, Graz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Males of the katydid Sphagniana sphagnorum maintain inter-male distances from one another using agonistic song interactions with a frequency-modulated song that consists of alternating audio and ultrasonic parts. We studied the neuronal representation of this song in auditory receptors and interneurons of receivers, using playbacks of songs that mimicked the absolute and relative sound pressure levels of the two song modes varying with distance. The tuning and sensitivity of both receptors and interneurons strongly determine their responses to the two song modes at different distances. Low-frequency interneurons respond preferentially to the audio mode of the song at larger distances. High-frequency (HF) interneurons respond preferentially to the HF component of the song at close range. 'Switch interneurons' are sensitive to both spectral song components, but exhibit a typical activity switch towards the high-frequency mode at distances nearer than 3-6 m. The activity of the latter two groups of interneurons correlates with the distance in the field at which males begin to interact acoustically with their neighbours. Important information about the rate of changes in the song mode is represented by the afferent activity despite the influence of the masking song produced by a sympatric katydid species.

Indexed as

Animal CommunicationAction PotentialsAnimalsInterneuronsMaleOrthopteraPeriodicitySexual Behavior, AnimalSound LocalizationWetlandsAuditory processingDistance estimationFrequency modulationInsectsSignal detection

Identifiers

PMID29460143
PMCPMC5849675

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.