Objective
Expectancy is a major function of the nervous system that prepares the organism to react in a meaningful way to sensory stimulation. Depending on local statistics of patterned sensory stimuli, the nervous system shows preparedness for expected inputs. This allows to respond or not in a short time window by taking into account recent presentations of a similar sensory context. In order to gain insight into the underlying neural coding, I propose to use the vibrissal system of the rat applying controlled sensory inputs. The vibrissal system contains an array of specialized vibrissae as the input stage of an extremely sensitive tactile system. Significant innovation will be the use of a stimulation matrix allowing independent deflection of 24 vibrissae. This novel tool will help to generate short-term expectancies by introducing complex and precisely timed specific sensory inputs. I propose to combine in vivo intracellular and multi-unit extracellular recordings in the primary somatosensory cortex (SI) with multi-whisker stimulation. I hypothesize that neural information coding is shaped by the statistics of the time-varying vibrissa contacts. The ability to generate expectancy signals will be compared for repetitive contacts as with natural objects and un-natural sequences to which the system is not preadapted. In addition to the common lightly anesthetized rat preparation, I propose to develop a novel design to record from awake animals. Furthermore, I will assess expectancy using dynamical systems techniques by modeling this process as forced coupled nonlinear oscillators. The proposed project will elucidate how natural tactile patterns are encoded in SI through a comprehensive approach including electrophysiology, sophisticated tactile stimulation and dynamical modeling. It will be the first to clarify the coding principles of predictable sensory inputs generating neuronal expectancies and can provide insight into the general mechanisms of prospective judgment.
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 biological sciences neurobiology
- natural sciences mathematics applied mathematics statistics and probability
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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-2015
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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.
75794 PARIS
France
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.