A5101789318- EEG and Brain-Computer Interfaces
- Polymer Surface Interaction Studies
- Neural dynamics and brain function
- Muscle activation and electromyography studies
- Climate Change Policy and Economics
- Energy, Environment, and Transportation Policies
- Heterotopic Ossification and Related Conditions
- Cellular Mechanics and Interactions
- Environmental Impact and Sustainability
- Hydrogels: synthesis, properties, applications
- Tuberous Sclerosis Complex Research
- Neuroscience and Neural Engineering
- Simulation Techniques and Applications
- Genetic and Kidney Cyst Diseases
- Opinion Dynamics and Social Influence
- Advanced Memory and Neural Computing
- RNA regulation and disease
- Healthcare Technology and Patient Monitoring
- Design Education and Practice
- Chromatin Remodeling and Cancer
- Human-Automation Interaction and Safety
- Sarcoidosis and Beryllium Toxicity Research
- Global Energy and Sustainability Research
- Pelvic and Acetabular Injuries
- Orthopedic Infections and Treatments
Inserm
2024
CHU Dijon Bourgogne
2024
Harvard University
2023-2024
Massachusetts General Hospital
2023-2024
Center for Neuro-Oncology
2023
Worcester Polytechnic Institute
2022
Institut Régional de Médecine Physique et de Réadaptation
2017
IFP Énergies nouvelles
2014-2016
EconomiX
2016
Institut polytechnique de Grenoble
2009-2010
Efficient delivery of growth or survival factors to cells is one the most important long-term challenges current cell-based tissue engineering strategies. The extracellular matrix acts as a reservoir for number through interactions with its components. In matrix, are protected against circulating proteases and locally concentrated. Thus, localized long-lasting matrix-bound recombinant human bone morphogenetic protein 2 (rhBMP-2) from biomaterial surface would mimic in vivo conditions...
Abstract Objective. Artificial neural networks (ANNs) are state-of-the-art tools for modeling and decoding activity, but deploying them in closed-loop experiments with tight timing constraints is challenging due to their limited support existing real-time frameworks. Researchers need a platform that fully supports high-level languages running ANNs (e.g. Python Julia) while maintaining critical low-latency data acquisition processing C C++). Approach. To address these needs, we introduce the...
We report on the preparation of polyelectrolyte films based biopolymers whose nanomechanical properties can be tuned by photo-cross-linking. Cationic poly(l-lysine) was layer-by-layer assembled with anionic hyaluronan (HA) derivatives modified photoreactive vinylbenzyl (VB) groups. The study multilayer buildup quartz crystal microbalance dissipation monitoring showed that presence VB groups does not influence significantly growth. Then VB-modified HA incorporated into cross-linked upon UV...
Recognizing keyboard typing as a familiar, high information rate communication paradigm, we developed an intracortical brain computer interface (iBCI) neuroprosthesis providing bimanual QWERTY functionality for people with paralysis. Typing this iBCI involves only attempted finger movements, which are decoded accurately few 30 calibration sentences. Sentence decoding is improved using 5-gram language model. This performed well two clinical trial participants tetraplegia - one ALS and spinal...
Abstract Three types of multilayer films made from poly( L ‐lysine)/hyaluronan, chitosan/hyaluronan, and poly(allylamine hydrochloride)/poly( ‐glutamic acid), were used to investigate the interplay between film mechano–chemical properties cell adhesion. We showed that C2C12 myoblast adhesion proliferation depended on extent cross‐linking for all whatever their internal chemistry. Cell spreading areas found correlate with film's stiffness be distributed over a unique curve. Immuno‐staining...
Summary Understanding how the body is represented in motor cortex key to understanding brain controls movement. The precentral gyrus (PCG) has long been thought contain largely distinct regions for arm, leg and face (represented by “motor homunculus”). However, mounting evidence begun reveal a more intermixed, interrelated broadly tuned map. Here, we revisit homunculus using microelectrode array recordings from 20 arrays that sample PCG across 8 individuals, creating comprehensive map of...
Abstract How does the motor cortex combine simple movements (such as single finger flexion/extension) into complex hand gestures or playing piano)? Motor cortical activity was recorded using intracortical multi-electrode arrays in two people with tetraplegia they attempted single, pairwise and higher order movements. Neural for simultaneous largely aligned linear summation of corresponding movement activities, violations. First, neural normalized, preventing a large magnitude an increasing...
A series of biodegradable alkylamino hydrazide hyaluronic acid (HA) derivatives were prepared and used to design new biocompatible films able release hydrophobic drugs in a controlled manner. The first step this work thus consisted optimizing the synthetic conditions HA bearing pendant hexyl, octyl, decyl, citronellyl chains with degree substitution 0.05 or 0.10. behavior aqueous solution these water-soluble modified samples was then examined semidilute regime. decylamino exhibited...
Objectives Life after severe burns is conditioned by the remaining sequelae. The pathophysiology and risk factors of Heterotopic Ossification (HO) are still poorly understood. aim this study was to determine: 1) incidence HO 2) associated with development, in a large retrospective study. Methods A case-control patients admitted intensive care unit Percy Hospital, Paris, from 1st January 2009 31st December 2013 then one three centres specialised rehabilitation burns. Multivariate analysis...
When humans work closely together, they can pick up subtle cues from their team members and adapt behavior appropriately. Humans working with robots may also give off cues, but the cannot detect these signals therefore change behavior. In this paper, we focus on heterogeneous multi-human robot teams. Such scenarios exist frequently in search rescue operations as well space missions, where perform tasks that are unsafe or even impossible for humans. At same time, human collaborate to make...
To understand how contextual elements of speech are encoded in human motor cortex, toward the development an intracortical brain-computer interface (iBCI) for restoration.
Understanding the cortical activity patterns driving dexterous upper limb motion has potential to benefit a broad clinical population living with limited mobility through development of novel brain-computer interface (BCI) technology. The present study examines ensembles motor neurons recorded using microelectrode arrays in dominant hemisphere two BrainGate trial participants cervical spinal cord injury as they attempted perform set 48 different hand gestures. Although each participant...
Artificial neural networks (ANNs) are state-of-the-art tools for modeling and decoding activity, but deploying them in closed-loop experiments with tight timing constraints is challenging due to their limited support existing real-time frameworks. Researchers need a platform that fully supports high-level languages running ANNs (e.g., Python Julia) while maintaining critical low-latency data acquisition processing C C++). To address these needs, we introduce the Backend Realtime Asynchronous...
Through referencing ethnographic research among university architecture students, this paper reflects on practices of sense-making that bridge digital and material media (including bodies). Our discussion follows students instructors as they develop designs are analytically feasible or “true” in environments (i.e. various rendering modeling software such AutoCAD Rhino), only to be confronted with incongruities resistance problems embodied skill (or lack thereof) when the design enters “real”...