Objective
The perception of depth entails the non-trivial transformation from two 2-D images captured by the retinas to a unified 3-D representation of the environment. This computation has been under scrutiny for long, but there are still many unanswered questions about how different depth cues, such as motion parallax and stereopsis, are utilized, and about the neural mechanisms underlying depth perception. In this work, I propose employing predatory behavior in the mouse, a visually guided, robust behavior, as a paradigm to answer some of these questions. For this, I will adapt existing freely behaving virtual reality technology for rendering an environment that will elicit prey capture behavior in the mouse. I will then systematically modulate the depth cues available to the animal to determine the main contributors to estimating the distance to the prey. Since the brain regions involved in depth computations are not well defined, I will subsequently use a head-fixed paradigm to perform functional, single-cell resolution calcium imaging of cortical neurons across visual areas during binocular presentation of prey-like stimuli. This will allow for identification of the neural correlates of the relevant depth cues and their location. Given that the behavior likely relies on binocular cues, imaging will target the primary visual cortex (V1) and its neighboring higher visual areas. V1 is likely the first site of meaningful integration of signals from the two eyes, and its surrounding areas also contain binocular regions. Finally, using the neural evidence acquired, I will image during freely moving behavior to identify the way depth cues are processed for successful prey capture.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences chemical sciences inorganic chemistry alkaline earth metals
- 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.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
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.
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.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
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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.
80539 Munchen
Germany
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.