Computational Modeling and Experimental Analysis
of Normal and Pathological Neural Rhythms
for Medical Applications & NeuroRobotics
Domaine de recherche
Neural oscillation and population synchrony at specific frequencies are ubiquitous in the central nervous system of animals and humans. Indeed, rhythms characterize the neural activity at every scale: (i) at the microscopic scale, subthreshold membrane potential of a neuron can oscillate up to 40 Hz and action potentials appear period- ically such as in the olfactory bulb; (ii) at a mesoscopic scale, neurons of inhibitory or excitatory populations fire together; (iii) at a macroscopic scale, brain areas located in both hemispheres show synchrony and brain waves can be observed between areas e.g., between the frontal lobe and the parietal lobe under general anesthesia. Rhythms can be found throughout the central nervous system e.g., between brain areas as well as in the spinal cord. As a consequence, rhythms are known to be involved in numerous brain functions such as perception and action (includ- ing inter-limb and inter-personal movement coordination), cognition (states of awakeness, memory consolidation…) and emotions. Excess or deficit in oscillation or synchrony could further relate to neurological disorders. Thus, it is important to study normal and pathological rhythmic activity to better understand Parkinson’s disease, tremor, epilepsy… and propose neural interfaces for controlling the nervous system or enhancing functional recovery.
Studying neural rhythms requires to build realistic models validated by experimental data recorded in humans, animals or robots.
Présentation de Grasp-IT au journal de la RTBF
RTBF journal de 13h du samedi 9 avril 2022 (à partir d’1mn 5s)
chaire de professeur junior en neurosciences au LORIA/Neurorhythms
Quoi : chaire de professeur junior en neurosciences
Cadrage de la fonction :
La chaire contient une réduction de service (64h) pendant 5 ans et un accompagnement financier.
La chaire pourrait être accompagnée d’un financement d’une bourse de thèse, d’un post-doctorat, voire d’une délégation pour permettre au lauréat ou à la lauréate de passer progressivement d’un service de 64h à un service de 192h.
Où : Université de Lorraine / Laboratoire LORIA / équipe NeuroRhythms
Computational Modeling and Experimental Analysis of Normal and Pathological Neural Rhythms for Medical Applications & NeuroRobotics
Quand : prise de poste en novembre 2021
Comment : Envoyer un mail motivé avec un CV attaché et les coordonnées de personnes référentes à laurent.bougrain@loria.fr
Best Student Paper@SMC’20
Congratulations to Sébastien Rimbert who received the award for best student paper from IEEE and the Brain initiative at Brain-Machine Interfaces workshop of the 2020 System Man and Cybernetic (SMC’20) conference!
You can read the article « Learning How to Generate Kinesthetic Motor Imagery Using a BCI-based Learning Environment: a Comparative Study Based on Guided or Trial-and-Error Approaches » by
Sébastien Rimbert, Laurent Bougrain and Stéphanie Fleck
here https://hal.inria.fr/hal-02920306