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NEUROSYS Research team

Analysis and modeling of neural systems by a system neuroscience approach

Team presentation

The team aims at understanding the dynamics of neural systems and develops methods to invent monitoring devices and interacting solutions for medical procedures. The approach is inspired by systems neuroscience, which relates microscopic modifications in neural systems to macroscopic changes in behavior. The team will employ this systems neuroscience approach and will develop models and data analysis tools bridging the gap between microscopic and mesoscopic, and mesoscopic and behavior activity. These bridges are necessary to better understand neural systems and, in turn, control the neural system. They also may allow to develop brain activity monitors and brain-machine interfaces utilizing the derived principles. As a long-term goal, the team shall develop such devices in medicine.


Research themes

The team works along two major research axes:

  • Relation of microscopic activity of single neurons and populations on a mesoscopic scale
  • Functional bridge between mesoscopic population activity, their network and macroscopic behavior.

Our ongoing work focuses on:

  • The modeling of the activity of a neuron, a population and the EEG generated according to different doses of drugs to assist in the development of new drugs;
  • A new method of monitoring based on movement intention during anesthesia;
  • a better understanding of the memory consolidation and non-consolidation during sleep and anesthesia.

International and industrial relations

We have several international active cooperations, e.g. funded by the European Research Program FP7 (NETT{}) and . We are also a member of LIRA, a Lifestyle Research Association with Philips and Fraunhofer {}).

We collaborate particularly with Mensia Technologies (http: // for the development of brain-computer interfaces for health. Our hospital partners are the neurology and anesthesia-resuscitation departments of the of Nancy CHRU.

Keywords: Computational neuroscience Neural networks Dynamic system Memory Sensori-motor loop General anaesthesia Brain-machine interfaces Biorobotics