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Institution

École Polytechnique

EducationPalaiseau, France
About: École Polytechnique is a education organization based out in Palaiseau, France. It is known for research contribution in the topics: Laser & Plasma. The organization has 18995 authors who have published 39265 publications receiving 1225163 citations. The organization is also known as: Ecole Polytechnique & Polytechnique.
Topics: Laser, Plasma, Electron, Population, Nonlinear system


Papers
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Journal ArticleDOI
TL;DR: In this article, a basic ductile fracture testing program is carried out on specimens extracted from TRIP780 steel sheets including tensile specimens with a central hole and circular notches.

275 citations

Journal ArticleDOI
24 Mar 2016-Cell
TL;DR: An unappreciated physical dimension to lymphocyte function is revealed and cells use mechanical forces to control the activity of outgoing chemical signals and data indicate that CTLs coordinate perforin release and force exertion in space and time.

274 citations

Journal ArticleDOI
TL;DR: In this article, a review of the results obtained in the period 2006-2014 in the field of plasma-assisted combustion, and in particular the results on ignition and combustion triggered or sustained by pulsed nanosecond discharges in different geometries, is presented.
Abstract: This review covers the results obtained in the period 2006–2014 in the field of plasma-assisted combustion, and in particular the results on ignition and combustion triggered or sustained by pulsed nanosecond discharges in different geometries. Some benefits of pulsed high voltage discharges for kinetic study and for applications are demonstrated. The necessity of and the possibility of building a particular kinetic mechanism of plasma-assisted ignition and combustion are discussed. The most sensitive regions of parameters for plasma–combustion kinetic mechanisms are selected. A map of the pressure and temperature parameters (P–T diagram) is suggested, to unify the available data on ignition delay times, ignition lengths and densities of intermediate species reported by different authors.

274 citations

Journal ArticleDOI
TL;DR: Eight chronic spinal cord injury paraplegics were subjected to long-term training with a multi-stage BMI-based gait neurorehabilitation paradigm aimed at restoring locomotion, resulting in unprecedented neurological recovery.
Abstract: Brain-machine interfaces (BMIs) provide a new assistive strategy aimed at restoring mobility in severely paralyzed patients. Yet, no study in animals or in human subjects has indicated that long-term BMI training could induce any type of clinical recovery. Eight chronic (3-13 years) spinal cord injury (SCI) paraplegics were subjected to long-term training (12 months) with a multi-stage BMI-based gait neurorehabilitation paradigm aimed at restoring locomotion. This paradigm combined intense immersive virtual reality training, enriched visual-tactile feedback, and walking with two EEG-controlled robotic actuators, including a custom-designed lower limb exoskeleton capable of delivering tactile feedback to subjects. Following 12 months of training with this paradigm, all eight patients experienced neurological improvements in somatic sensation (pain localization, fine/crude touch, and proprioceptive sensing) in multiple dermatomes. Patients also regained voluntary motor control in key muscles below the SCI level, as measured by EMGs, resulting in marked improvement in their walking index. As a result, 50% of these patients were upgraded to an incomplete paraplegia classification. Neurological recovery was paralleled by the reemergence of lower limb motor imagery at cortical level. We hypothesize that this unprecedented neurological recovery results from both cortical and spinal cord plasticity triggered by long-term BMI usage.

274 citations

Journal ArticleDOI
10 Aug 1993-EPL
TL;DR: In this paper, a phase reduction technique was used to reduce the firing rates of two neurons coupled by weak excitatory interactions, and all the information about the coupling between the neurons and their synchronization was then contained in an effective interaction between their phases.
Abstract: Hodgkin-Huxley model neurons coupled by weak excitatory interactions are studied by a phase reduction technique. All the information about the coupling between the neurons and their synchronization is then contained in an effective interaction between their phases. One shows analytically that an excitatory coupling can result in an effective inhibition between the neurons reducing their firing rates. Systems of two neurons exhibit bistability and out-of-phase locking. It is suggested that these features may have significant consequences for networks.

274 citations


Authors

Showing all 19056 results

NameH-indexPapersCitations
Michael Grätzel2481423303599
Jing Wang1844046202769
David L. Kaplan1771944146082
Lorenzo Bianchini1521516106970
David D'Enterria1501592116210
Vivek Sharma1503030136228
Melody A. Swartz1481304103753
Edward G. Lakatta14685888637
Carlo Rovelli1461502103550
Marc Besancon1431799106869
Maksym Titov1391573128335
Jean-Paul Kneib13880589287
Yves Sirois137133495714
Maria Spiropulu135145596674
Shaik M. Zakeeruddin13345376010
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202340
2022116
20211,470
20201,666
20191,483
20181,218