Objective
Cognitive abilities change with development and age. Cognitive development during childhood and adolescence depends on an intellectually challenging environment, but is robustly affected in various forms of mental retardation. Adult cognitive abilities are strongly correlated with a person’s success in life. Finally, cognitive decline is an important problem during aging and is accelerated in neurodegenerative disorders like Alzheimer’s disease. Lifetime cognitive wellbeing is of the utmost importance in a society where life expectancy and individual demand for socio-economic participation are increasing, and the financial burden on health care needs to be contained. CognitionNet investigates brain mechanisms of cognition at the molecular, cellular, neural network and behavioral level, both from a basic and a clinical perspective and aims to integrate the results to establish novel treatment options for various forms of cognitive impairment that form a major threat in our modern society.
The key objective of CognitionNet is to train students to become independent neuroscientists with conceptual and practical skills to solve complex problems in contemporary multilevel brain network analyses. The host institute (the Center for Neurogenomics and Cognitive Research; CNCR) provides an excellent and cross-disciplinary research environment, both in terms of facilities and scientific expertise, with a strong track record as partner/coordinator of large previous EU collaborative projects (e.g. EU-Synapse, SynSys, BrainTrain, Neuromics). In addition, expert-associated partnerships, academic, clinical and private sector, guarantee additional training in related research areas that are gaining importance in modern neuroscience, including computational biology, drug development and IP/patenting issues. Together, CognitionNet is capable of delivering a new generation of cognitive neuroscientists that is fit to face and solve one the major health problems in the coming decades.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Call for proposal
FP7-PEOPLE-2013-ITN
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Funding Scheme
MC-ITN - Networks for Initial Training (ITN)Coordinator
1081 HV Amsterdam
Netherlands