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FISHEARS SIGNED

Enigmatic fish ears: solving a sensory biology riddle with bioengineering and Artificial Intelligence

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 FISHEARS project word cloud

Explore the words cloud of the FISHEARS project. It provides you a very rough idea of what is the project "FISHEARS" about.

3d    contrast    registered    physiological    capability    riddles    mri    underwater    biology    finite    dicect    structures    framework    sounds    ecological    multiscale    cluster    biomechanics    enhanced    tools    utilising    sensory    fishes    understand    significance    fish    biogeographical    co    ears    ear    shape    learning    model    sizes    statistical    one    environment    human    created    data    physical    patterns    predominant    life    replicate    collected    events    predict    species    digitally    acoustic    auditory    differences    force    machine    cues    relationships    morphology    computed    evolutionary    secondly    algorithm    structure    hearing    tomography    conceptualisation    question    computational    models    infer    environmental    prediction    functional    perform    driving    bioimaging    first    unknown    complicated    inner    fe    resolution    accepted    firstly    history    diffusible    elasmobranch    too    interplay    incorporate    function    diversity    iodine   

Project "FISHEARS" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF EXETER 

Organization address
address: THE QUEEN'S DRIVE NORTHCOTE HOUSE
city: EXETER
postcode: EX4 4QJ
website: www.ex.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 272˙084 €
 EC max contribution 272˙084 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-GF
 Starting year 2020
 Duration (year-month-day) from 2020-11-01   to  2023-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF EXETER UK (EXETER) coordinator 272˙084.00
2    THE UNIVERSITY OF AUCKLAND NZ (AUCKLAND) partner 0.00

Map

 Project objective

One of the predominant riddles of sensory biology is the diversity in fish auditory systems. It is widely accepted that fishes are well adapted to utilising underwater sounds as sensory cues in key life-history events. However, the functional significance and the driving force leading to the differences in fish inner ear sizes and structures are unknown. A complex interplay of physical, evolutionary, functional and ecological factors may shape the different elements: a multiscale environment too complicated for human conceptualisation. I propose to address this question by applying novel bioimaging and computational tools to investigate elasmobranch fish ears. Firstly, diffusible iodine-based contrast enhanced computed tomography (diceCT) will be used, co-registered with MRI data, to build 3D high resolution models of the inner ears. Secondly, a Finite Element (FE) model will be created to digitally replicate a fish ear and understand the biomechanics of its structure. Finally, a statistical framework will be developed to incorporate the factors that may shape the hearing system of elasmobranch fishes, including the collected data, together with the available physiological, ecological and biogeographical information on each species, as well as species’ acoustic environmental parameters. A Machine Learning algorithm will be applied to infer patterns and relationships between the factors, to perform both cluster and prediction analyses. Thus, a reliable model will be developed, which can predict the hearing capability of any elasmobranch species based on the ear morphology and the first evidence of the function of fish ear diversity.

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The information about "FISHEARS" are provided by the European Opendata Portal: CORDIS opendata.

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