Objective
All visual systems are specialised to best serve an animal’s sensory niche, yet how such specialisations are achieved through phylogenetic and developmental adaptations of the ‘common vertebrate visual system blueprint’ are poorly understood. I will study these adaptations in the visual system of zebrafish. I will use two-photon functional imaging and computational modelling to investigate how the visual system of zebrafish samples and processes behaviourally meaningful stimuli in the natural world. I will then use optogenetic manipulations while zebrafish navigate a virtual reality environment to directly probe the role of visual circuits in driving behaviour. Specifically, I will pursue four Aims:
1. What is the zebrafish eye designed to see?
2. How does the fish retina form feature selective output channels?
3. What does the fish’s eye tell the fish’s brain?
4. How does visual input to the brain lead to behaviour?
Visual specialisations begin in the optics and movements of the eyes, and are subsequently deeply rooted in every step of neuronal computation. Therefore, I will study visual processing at these different organisational levels. Here, the highly ‘visual’ zebrafish present a powerful model. They (i) offer exquisite genetic tools to record and manipulate neurons, (ii) have transparent larval stages permitting optical access to the entire nervous system and (iii) there is a large array of well-studied and easily quantifiable visual behaviours. In addition, zebrafish undergo two distinct life-stages, from larva to adult - with distinct lifestyles in different visual environments and hence different feature-detection requirements. Comparison of processing strategies employed by the (a) larval and (b) adult zebrafish visual system with that of other species, including a complementary database already recorded in mice (c), will lead to an increasingly generalised understanding of biological vision.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences neurobiology
- engineering and technology materials engineering colors
- natural sciences biological sciences freshwater biology
- natural sciences physical sciences optics microscopy
- natural sciences computer and information sciences software software applications virtual reality
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2015-STG
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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.
BN1 9RH Brighton
United Kingdom
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