Objective
Aging-induced memory deficiencies are caused by dysfunctions of various brain regions, including the hippocampus and the prefrontal cortex. Currently not much is known about the anatomical and biophysical properties or the underlying molecular mechanisms that enable these regions to contribute to memory formation or the effects of aging on neural learning and storage capacity. In this project, we propose to combine electrophysiological and modeling approaches to address issues pertaining to aging induced changes in cellular properties and how these influence the information processing capacity of hippocampal and neocortical cells. Towards this target, we will first perform electrophysiological experiments to characterize the intrinsic properties of young and aged pyramidal neurons and then use the accumulated as well as existing data to build realistic compartmental models of these cells. Models will incorporate both anatomical and biophysical information and will be used in simulation experiments to study the effects of aging on the excitability and integrative properties of hippocampal and neocortical neurons. We are especially interested in (a) investigating the ability of aged neurons to support nonlinear dendritic integration and process incoming signals like multi-layer neural networks and (b) identifying key mechanisms that influence dendritic integration properties as they may serve as a basis for new medical interventions that can alleviate memory loss in the elderly.
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 computer and information sciences data science data processing
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
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.
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.
FP7-PEOPLE-2007-4-1-IOF
See other projects for this call
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.
Coordinator
700 13 IRAKLEIO
Greece
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.