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2019 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 Medicine
Keywords:
Computer Science and Digital Science:
  • A3.3. - Data and knowledge analysis
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.4. - Optimization and learning
  • A3.4.6. - Neural networks
  • A3.4.8. - Deep learning
  • A5.1.3. - Haptic interfaces
  • A5.1.4. - Brain-computer interfaces, physiological computing
  • A5.9.2. - Estimation, modeling
  • A5.11.1. - Human activity analysis and recognition
  • A6.1.1. - Continuous Modeling (PDE, ODE)
  • A6.1.2. - Stochastic Modeling
  • A6.1.4. - Multiscale modeling
  • A6.2.1. - Numerical analysis of PDE and ODE
  • A6.3.4. - Model reduction
  • A9.2. - Machine learning
  • A9.3. - Signal analysis
  • A9.6. - Decision support
Other Research Topics and Application Domains:
  • B1.2. - Neuroscience and cognitive science
  • B1.2.1. - Understanding and simulation of the brain and the nervous system
  • B1.2.2. - Cognitive science
  • B1.2.3. - Computational neurosciences
  • B2.2.2. - Nervous system and endocrinology
  • B2.2.6. - Neurodegenerative diseases
  • B2.5.1. - Sensorimotor disabilities
  • B2.6.1. - Brain imaging
  • B2.8. - Sports, performance, motor skills