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2016 Project-Team Activity Report
MNEMOSYNE
Mnemonic Synergy
Research centre: Bordeaux - Sud-Ouest
In partnership with: CNRS, Institut Polytechnique de Bordeaux, Université de Bordeaux



Field: Digital Health, Biology and Earth

Theme: Computational Neuroscience and Medecine
Keywords:
Computer Science and Digital Science:
  • 1.1.12. - Non-conventional architectures
  • 1.5. - Complex systems
  • 3.1.1. - Modeling, representation
  • 3.1.7. - Open data
  • 3.2.2. - Knowledge extraction, cleaning
  • 3.2.5. - Ontologies
  • 3.3. - Data and knowledge analysis
  • 3.3.2. - Data mining
  • 3.4.1. - Supervised learning
  • 3.4.2. - Unsupervised learning
  • 3.4.3. - Reinforcement learning
  • 3.4.4. - Optimization and learning
  • 3.4.6. - Neural networks
  • 3.4.8. - Deep learning
  • 5.1.1. - Engineering of interactive systems
  • 5.1.2. - Evaluation of interactive systems
  • 5.2. - Data visualization
  • 5.3.3. - Pattern recognition
  • 5.4.1. - Object recognition
  • 5.4.2. - Activity recognition
  • 5.7.1. - Sound
  • 5.7.3. - Speech
  • 5.7.4. - Analysis
  • 5.8. - Natural language processing
  • 5.9.1. - Sampling, acquisition
  • 5.10.5. - Robot interaction (with the environment, humans, other robots)
  • 5.10.7. - Learning
  • 5.10.8. - Cognitive robotics and systems
  • 5.11.1. - Human activity analysis and recognition
  • 7.1. - Parallel and distributed algorithms
  • 8.2. - Machine learning
  • 8.5. - Robotics
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
  • 2.2.6. - Neurodegenerative diseases
  • 8.5.2. - Crowd sourcing
  • 9.1.1. - E-learning, MOOC
  • 9.4.1. - Computer science
  • 9.5.8. - Linguistics
  • 9.6. - Reproducibility
  • 9.7. - Knowledge dissemination
  • 9.9.1. - Environmental risks