Fish optimize sensing and respiration during undulatory swimming
- Submitting institution
-
Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 19764916
- Type
- D - Journal article
- DOI
-
10.1038/ncomms11044
- Title of journal
- Nature Communications
- Article number
- 11044
- First page
- -
- Volume
- 7
- Issue
- -
- ISSN
- 2041-1723
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
https://static-content.springer.com/esm/art%3A10.1038%2Fncomms11044/MediaObjects/41467_2016_BFncomms11044_MOESM1801_ESM.pdf
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 23
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is interdisciplinary research, published in the premier journal. The work involves experiments with robotic fish, new mathematical modelling on how fish sense local pressures around the head, and thorough biological data analysis. Follow-on research has been reported by a good number of world-leading teams, including for example, those at University of Michigan, University of Maryland, University of California Santa Barbara, University of Minnesota, USA; Peking University, Harbin Institute of Technology, China; and McGill University, Canada.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -