Evidence map›Paper›PMID 34045536›Full record

ArticleScientific reports2021

A system for controlling vocal communication networks.

J Rychen, D I Rodrigues, T Tomka, L Rüttimann, H Yamahachi, R H R Hahnloser

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
1.8field-weighted citation impact, top 17% 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

0 citing papers in PubMed, 10 citations in OpenAlex.

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

6 authors at 3 institutions in 1 country.

J RychenInstitute of Neuroinformatics, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland. jrychen@ethz.ch.
D I RodriguesInstitute of Neuroinformatics, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland.
T TomkaInstitute of Neuroinformatics, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland.
L RüttimannInstitute of Neuroinformatics, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland.
H YamahachiInstitute of Neuroinformatics, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland.
R H R HahnloserInstitute of Neuroinformatics, University of Zurich and ETH Zurich, 8057, Zurich, Switzerland. rich@ini.ethz.ch.
University of Zurich · CHSIB Swiss Institute of Bioinformatics · CHETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal vocalizations serve a wide range of functions including territorial defense, courtship, social cohesion, begging, and vocal learning. Whereas many insights have been gained from observational studies and experiments using auditory stimulation, there is currently no technology available for the selective control of vocal communication in small animal groups. We developed a system for real-time control of vocal interactions among separately housed animals. The system is implemented on a field-programmable gate array (FPGA) and it allows imposing arbitrary communication networks among up to four animals. To minimize undesired transitive sound leakage, we adopted echo attenuation and sound squelching algorithms. In groups of three zebra finches, we restrict vocal communication in circular and in hierarchical networks and thereby mimic complex eavesdropping and middleman situations.

Indexed as

Animal CommunicationAcoustic StimulationAnimalsFinchesVocalization, Animal

Identifiers

PMID34045536
PMCPMC8160343
OpenAlexW3164401544

What OpenQuestion holds

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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.