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Adaptive functions of visual systems

Project description

Adaptation of visual systems to changes in environment and behaviour

Looking at a photograph is a relatively simple visual task. In real life, the visual systems of living organisms must process highly dynamic and complex data relevant to the organisms’ social interactions, feeding, mating and survival and more. In addition to a constantly changing environment, self-motion adds another level of complexity. The ERC-funded AdaptiveVision project will investigate two critical visual computations: contrast estimation in dynamically changing environments and the encoding of global motion cues generated by self-motion. The goal is first to understand common principles of visual system function and then elucidate how diverse visual systems adapt to specific environmental and behavioural constraints.

Objective

The processing of visual information allows humans, animals, and computer-vision based machines to navigate the world. All visual systems face common challenges when the world rapidly changes. Such changes are often generated by an animal’s own movement. Self-motion for example causes fast changes in illumination and generates global motion patterns on the eye, due to the movement of the world relative to the observer. Diverse visual systems face these common challenges but must also deal with important differences. First, animals experience different environments. Second, animals show different types of behavior, such as walking or flying, and behavior will alter the visual cues that the animal encounters. The goal of AdaptiveVision is to first understand common principles of visual system function, and to then work out how diverse visual systems adapt to specific environmental and behavioral constraints. To achieve this, AdaptiveVision will study two essential visual computations, the robust estimation of contrast in dynamically changing environments, and the encoding of global motion cues generated by self-motion.
For both topics, AdaptiveVision will follow a common approach: We will first study the mechanisms of visual computation in D.melanogaster. This model organism allows to identify molecular, biophysical, and circuit mechanisms of visual system function and link these back to behavior, ensuring a comprehensive understanding of visual computation. Second, a comparative approach will answer how diverse visual systems adapt to the individual constraints brought about by the environments and by the animal’s own behavior. Developing different Drosophila species as genetic models or applying transcriptomic techniques in different Diptera will allow us to obtain molecular signatures of homologous cell types and lead toward an understanding of the molecular basis of the evolution of visual computation.

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2021-COG

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Host institution

JOHANNES GUTENBERG-UNIVERSITAT MAINZ
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 999 613,00
Address
SAARSTRASSE 21
55122 MAINZ
Germany

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Region
Rheinland-Pfalz Rheinhessen-Pfalz Mainz, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 999 613,00

Beneficiaries (1)

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