Integrative and behavioral neurosciences in humans and animals

This axis brings together neurophysiologists, clinicians, ergonomists, psychiatrists and statisticians to formalize the quantitative study of human behavior in normal, altered or pathological situations

Scientific approach

The approach consists in combining

  • the state of the art of science in neuroscience, in psychiatry, in translational research, in ergonomics and machine learning,
  • the increasingly common use of non-intrusive and inexpensive sensors, digital technologies available to all such as the web, smartphones, cameras, gaze trackers, gravitometers, game consoles equipped with accelerometers,
  • the use and development of open source software and environments that facilitate reproducible research,
  • field expertise to establish standards for the quantitative assessment of human or animal behavioral disorders in potentially complex environments.

Covered topics

  • Translational research in anesthesiology, neurology, ophthalmology, intensive care, geriatrics

  • Prevention and early detection of frailty syndrome

  • Training of operators involved in complex man-machine interfaces

  • Assessment of human behavior in extreme conditions

  • Study on the neural basis of sensorimetric transformation

  • Brain development, imagery and psychopathology

  • Neuroimaging and psychiatric therapies

Study of the states of alertness

The study of the state of alertness concerns the objective and reproducible quantification of the disorders of consciousness, whether they are induced (general anesthesia) or incidendat to an…

Mental load and complex human-machine interfaces

This theme contributes to the development of tools to quantify the sensorimotor and cognitive behavior of the man-machine interface and its mental load.

Sensorimotor models and their applications

This theme focuses on the development of sensor packages and behavioral databases for the detection of frailty in different uses.

Developmental Trajectories & Psychiatry

Using mathematical modeling and large databases, the team is studying the multimodal characteristics of psychiatric disorders with a neurodevelopmental component.