NeuroRhythms

Computational Modeling and Experimental Analysis
of Normal and Pathological Neural Rhythms
for Medical Applications & NeuroRobotics

Research topics

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.

Faustine Faccin has been awarded a PhD in computer science

2026/06/08 2026/07/22Uncategorized

Congratulations to Faustine Faccin on being awarded a PhD in Computer Science by the University of Lorraine for her thesis entitled: ‘Integration of clinical and physiological modalities derived from the ECG for the diagnosis of sleep apnoea using machine learning’.

Supervisors: El-Hadi Djermoune, Laurent Bougrain, Pauline Guyot

PhD position (Sept 2025 – Aug 2028)

2025/02/17 2025/03/10Job offers

Modelling a bio-inspired architecture for Joint Action in human-robot interaction

This research project aims at studying the dynamics of Joint Action (JA) in human-robot interaction (HRI) through mathematical modeling, simulations, multi-scale signal processing and prototyping.

Read the full offer description in PhD-ModeingJointActionHRI2025.pdf

Contacts : laure.burhy at loria.fr, hendry.ferriera-chame at loria.fr

New PhD student

2023/04/07 2023/04/19Uncategorized

Faustine Faccin will work on clinical information fusion in a neural network for optimizing diagnostic performance in sleep apnea syndromer (in collaboration with Noviga). Supervisors: el Hadi Dermoune, Laurent Bougrain and Pauline Guyot.

Computational Neurosciences

Brain-Computer Interfaces

Hand Shaking controlled by Central Pattern Generators

Computational Modeling and Experimental Analysis
of Normal and Pathological Neural Rhythms
for Medical Applications & NeuroRobotics

Research topics

Faustine Faccin has been awarded a PhD in computer science

PhD position (Sept 2025 – Aug 2028)

Modelling a bio-inspired architecture for Joint Action in human-robot interaction

New PhD student

Computational Neurosciences

Brain-Computer Interfaces

Hand Shaking controlled by Central Pattern Generators

Computational Modeling and Experimental Analysisof Normal and Pathological Neural Rhythmsfor Medical Applications & NeuroRobotics Research topics

Modelling a bio-inspired architecture for Joint Action in human-robot interaction

Computational Modeling and Experimental Analysis
of Normal and Pathological Neural Rhythms
for Medical Applications & NeuroRobotics

Research topics