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2016 Project-Team Activity Report
NEUROSYS
Analysis and modeling of neural systems by a system neuroscience approach
Research centre: Nancy - Grand Est
In partnership with: CNRS, Université de Lorraine

In collaboration with: Laboratoire lorrain de recherche en informatique et ses applications (LORIA)



Field: Digital Health, Biology and Earth

Theme: Computational Neuroscience and Medecine
Keywords:
Computer Science and Digital Science:
  • 3.3. - Data and knowledge analysis
  • 3.4. - Machine learning and statistics
  • 5.1.4. - Brain-computer interfaces, physiological computing
  • 5.9.2. - Estimation, modeling
  • 5.11.1. - Human activity analysis and recognition
  • 6.1.1. - Continuous Modeling (PDE, ODE)
  • 6.1.2. - Stochastic Modeling (SPDE, SDE)
  • 6.1.4. - Multiscale modeling
  • 6.3.4. - Model reduction
  • 8.2. - Machine learning
  • 8.3. - Signal analysis
Other Research Topics and Application Domains:
  • 1.3. - Neuroscience and cognitive science
  • 1.3.1. - Understanding and simulation of the brain and the nervous system
  • 1.3.2. - Cognitive science
  • 1.4. - Pathologies
  • 2.2.2. - Nervous system and endocrinology
  • 2.5.1. - Sensorimotor disabilities