Detection of Anticipatory Dynamics between a Pair of Zebrafish
| dc.contributor.author | Chen, Wei-Jie | |
| dc.contributor.author | Ko, I-Shih | |
| dc.contributor.author | Lin, Chi-An | |
| dc.contributor.author | Chen, Chun-Jen | |
| dc.contributor.author | Wu, Jiun-Shian | |
| dc.contributor.author | Chan, C. K. | |
| dc.date.accessioned | 2024-06-19T07:25:40Z | |
| dc.date.available | 2024-06-19T07:25:40Z | |
| dc.date.issued | 2023-12-21 | |
| dc.description.abstract | Anticipatory dynamics (AD) is unusual in that responses from an information receiver can appear ahead of triggers from the source, and direction of information flow (DIF) is needed to establish causality. Although it is believed that anticipatory dynamics is important for animals’ survival, natural examples are rare. Time series (trajectories) from a pair of interacting zebrafish are used to look for the existence of AD in natural systems. In order to obtain the DIF between the two trajectories, we have made use of a special experimental design to designate information source. However, we have also used common statistical tools such as Granger causality and transfer entropy to detect DIF. In our experiments, we found that a majority of the fish pairs do not show any anticipatory behaviors and only a few pairs displayed possible AD. Interestingly, for fish in this latter group, they do not display AD all the time. Our findings suggest that the formation of schooling of fish might not need the help of AD, and new tools are needed in the detection of causality in AD system. | |
| dc.description.version | published | deu |
| dc.identifier.doi | 10.3390/e26010013 | |
| dc.identifier.ppn | 1907292799 | |
| dc.identifier.uri | https://kops.uni-konstanz.de/handle/123456789/70158 | |
| dc.language.iso | eng | |
| dc.rights | Attribution 4.0 International | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 530 | |
| dc.title | Detection of Anticipatory Dynamics between a Pair of Zebrafish | eng |
| dc.type | JOURNAL_ARTICLE | |
| dspace.entity.type | Publication | |
| kops.citation.bibtex | @article{Chen2023-12-21Detec-70158,
year={2023},
doi={10.3390/e26010013},
title={Detection of Anticipatory Dynamics between a Pair of Zebrafish},
number={1},
volume={26},
journal={Entropy},
author={Chen, Wei-Jie and Ko, I-Shih and Lin, Chi-An and Chen, Chun-Jen and Wu, Jiun-Shian and Chan, C. K.},
note={Article Number: 13}
} | |
| kops.citation.iso690 | CHEN, Wei-Jie, I-Shih KO, Chi-An LIN, Chun-Jen CHEN, Jiun-Shian WU, C. K. CHAN, 2023. Detection of Anticipatory Dynamics between a Pair of Zebrafish. In: Entropy. MDPI AG. 2023, 26(1), 13. eISSN 1099-4300. Verfügbar unter: doi: 10.3390/e26010013 | deu |
| kops.citation.iso690 | CHEN, Wei-Jie, I-Shih KO, Chi-An LIN, Chun-Jen CHEN, Jiun-Shian WU, C. K. CHAN, 2023. Detection of Anticipatory Dynamics between a Pair of Zebrafish. In: Entropy. MDPI AG. 2023, 26(1), 13. eISSN 1099-4300. Available under: doi: 10.3390/e26010013 | eng |
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<dcterms:abstract>Anticipatory dynamics (AD) is unusual in that responses from an information receiver can appear ahead of triggers from the source, and direction of information flow (DIF) is needed to establish causality. Although it is believed that anticipatory dynamics is important for animals’ survival, natural examples are rare. Time series (trajectories) from a pair of interacting zebrafish are used to look for the existence of AD in natural systems. In order to obtain the DIF between the two trajectories, we have made use of a special experimental design to designate information source. However, we have also used common statistical tools such as Granger causality and transfer entropy to detect DIF. In our experiments, we found that a majority of the fish pairs do not show any anticipatory behaviors and only a few pairs displayed possible AD. Interestingly, for fish in this latter group, they do not display AD all the time. Our findings suggest that the formation of schooling of fish might not need the help of AD, and new tools are needed in the detection of causality in AD system.</dcterms:abstract>
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| kops.sourcefield | Entropy. MDPI AG. 2023, <b>26</b>(1), 13. eISSN 1099-4300. Verfügbar unter: doi: 10.3390/e26010013 | deu |
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| source.periodicalTitle | Entropy | |
| source.publisher | MDPI AG |
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