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2019 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 Medicine
Keywords:
Computer Science and Digital Science:
  • A1.1.12. - Non-conventional architectures
  • A1.5. - Complex systems
  • A3.1.1. - Modeling, representation
  • A3.1.7. - Open data
  • A3.2.2. - Knowledge extraction, cleaning
  • A3.2.5. - Ontologies
  • A3.3. - Data and knowledge analysis
  • A3.3.2. - Data mining
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.3. - Reinforcement learning
  • A3.4.4. - Optimization and learning
  • A3.4.6. - Neural networks
  • A3.4.8. - Deep learning
  • A5.1.1. - Engineering of interactive systems
  • A5.1.2. - Evaluation of interactive systems
  • A5.2. - Data visualization
  • A5.3.3. - Pattern recognition
  • A5.4.1. - Object recognition
  • A5.4.2. - Activity recognition
  • A5.7.1. - Sound
  • A5.7.3. - Speech
  • A5.7.4. - Analysis
  • A5.8. - Natural language processing
  • A5.9.1. - Sampling, acquisition
  • A5.10.5. - Robot interaction (with the environment, humans, other robots)
  • A5.10.7. - Learning
  • A5.10.8. - Cognitive robotics and systems
  • A5.11.1. - Human activity analysis and recognition
  • A7.1. - Algorithms
  • A9.2. - Machine learning
  • A9.5. - Robotics
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
  • B8.5.2. - Crowd sourcing
  • B9.1.1. - E-learning, MOOC
  • B9.5.1. - Computer science
  • B9.6.8. - Linguistics
  • B9.7. - Knowledge dissemination
  • B9.8. - Reproducibility
  • B9.11.1. - Environmental risks