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PARIETAL - 2019
PARIETAL - 2019
Project-Team Parietal
Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Project-Team Parietal
Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography


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2019 Project-Team Activity Report
PARIETAL
Modelling brain structure, function and variability based on high-field MRI data.
Research centre: Saclay - Île-de-France
In partnership with: Centre CEA-Saclay

In collaboration with: CEA Neurospin



Field: Digital Health, Biology and Earth

Theme: Computational Neuroscience and Medicine
Keywords:
Computer Science and Digital Science:
  • A3.3. - Data and knowledge analysis
  • A3.3.2. - Data mining
  • A3.3.3. - Big data analysis
  • A3.4. - Machine learning and statistics
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.4. - Optimization and learning
  • A3.4.5. - Bayesian methods
  • A3.4.6. - Neural networks
  • A3.4.7. - Kernel methods
  • A3.4.8. - Deep learning
  • A5.3.2. - Sparse modeling and image representation
  • A5.3.3. - Pattern recognition
  • A5.9.1. - Sampling, acquisition
  • A5.9.2. - Estimation, modeling
  • A5.9.6. - Optimization tools
  • A6.2.4. - Statistical methods
  • A6.2.6. - Optimization
  • A9.2. - Machine learning
  • A9.3. - Signal analysis
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
  • B2.2.6. - Neurodegenerative diseases
  • B2.6.1. - Brain imaging