Objective
An important part of successfully navigating the world is the ability to make and act upon choices. In the brains of humans and other mammals, the cerebral cortex is considered an important structure for accumulating sensory evidence and executing actions, but the neural relationship between evidence and action is still unclear. A serial information processing hypothesis posits that cortical areas work in sequence to transform sensory evidence into behavioral choices, while an alternative parallel processing hypothesis argues that multiple, competing sensorimotor signals are combined at the earliest instance. Though there have been many studies of single-cell recordings offering support for one or the other hypothesis, the key to truly understand these complex behaviors will require recording from many hundreds of neurons over many different regions of the brain.
In this proposal, I present a plan for a high-throughput assay of decision-making activity in the mouse brain. To compare these hypotheses, I will use two-photon calcium imaging to record simultaneously from thousands of neurons across many areas of cerebral cortex while mice perform a visually guided task that parses the perceptual, cognitive, and motor aspects of decision-making behavior. In analyzing the activity of these very large neural populations, I will be able to identify and distinguish how each cortical region contributes to aspects of the task and overall animal performance. I will further probe the structure of decision-making activity in cortex by introducing an adaptation paradigm to the same task, comparing how perceptual correlates for adaptation are linked to neural correlates, and observing how these effects manifest across different cortical areas.
I will perform these experiments in the Cortical Processing Laboratory at University College London, led by Drs. Kenneth Harris and Matteo Carandini.
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 biological sciences zoology mammalogy
- natural sciences computer and information sciences data science data processing
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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.
WC1E 6BT LONDON
United Kingdom
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.