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EchoBug

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Echo acoustic signalling of aposematic and cryptic insects A bat inspired appr...

Echo acoustic signalling of aposematic and cryptic insects A bat inspired approach In the arms race between prey and predators, diverse anti-predator defence mechanisms evolved. To avoid predation, many insects developed camouflage (crypsis) or chemicals that render them distasteful or toxic. To warn of their un... see more

31/08/2024

UANTWERPEN

166K€

Project Budget: 166K€

Project leader

UNIVERSITEIT ANTWERPEN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo H2020 notifico la concesión del proyecto The day 2024-08-31

MSCA-IF-2020: Individual Fellowships Objective:The goal of the Individual Fellowships is to enhance the creative and innovative potential...

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2 Participantes

UANTWERPEN

166.32K€ | Leader

INFINITEC ACTIVOS

212.71K€ | participant

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Project duration: 40 months Date Start: 2021-04-14
End date: 2024-08-31

Project leader

UNIVERSITEIT ANTWERPEN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 166K€

participation deadline Sin fecha límite de participación.

Project description In the arms race between prey and predators, diverse anti-predator defence mechanisms evolved. To avoid predation, many insects developed camouflage (crypsis) or chemicals that render them distasteful or toxic. To warn of their unpalatability, many insects evolved striking warning colours or patterns (aposematism). Insects comprise most of the diet of bats. Some of these nocturnal predators glean resting, silent, motionless diurnal insects from the vegetation. Instead of using vision during foraging, they produce ultrasonic calls and detect their prey through echolocation. Here, I want to research whether visually cryptic or aposematic insects also have cryptic or aposematic acoustic reflection properties, to hide from or signal their unpalatability to echolocating bats. I will use bio-inspired sensor systems to acquire echo-acoustic sonar recordings of selected insect species and conduct behavioural prey-detection and -capture experiments using live bats to explore the prevailing acoustic predator-prey interactions. Based on these experiments, I will apply neural network algorithms for classifying and analysing the distinguishing features in different insect echoes. This approach will allow an in-depth investigation of the underlying acoustic mechanisms of the interaction between prey and predators and will inform and inspire biomimetic applications for detecting and identifying objects by sonar. Further, the project will lead to synergism between the research fields of biology and engineering in the study of animal interactions and bio-inspired robotics. Combining sensory ecology and animal behaviour with applied engineering, signal processing, bio-inspired sensor systems, and neural network applications, will positively impact on my career development. In addition, the scientific training, and transferable skills gained will substantially contribute to my career as an independent, interdisciplinary researcher, and a successful group leader.

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