Stability of synchronization under stochastic perturbations in leaky integrate and fire neural networks of finite size.

باّتُكلا دجن امك ىلإ ةجاحلا نود يناعملا نم ريثكلا ىلع ةللادلل زومرلا مادختسا اوفلأ دق بتكلا اوقّقحمو ةثيدحلا سيماوقلاو مجاعملا تضاعتسا امك ،زيمرتلاو ميقرتلا

Methods: From January 1996 to July 2002, 121 patients with severe end-stage dilated (DCM) or ischemic cardiomyopathy (ICM), mitral regurgitation $ 2, and left ventricular

As customarily done in optics, the linearly polarised incident light can be decomposed into two components, one with the polar- isation direction of the electric eld perpendicular

Il existe une réelle progression des apprentissages entre le temps 1 (test initial) et le temps 2 (post-test) et ce pour les deux groupes d’élèves, mais cette différence

We consider the (unimodular) Pisot S-adic framework introduced in [BST14], where unimodular means that the incidence matrices of the substitutions are uni- modular.. The S-adic

So, we have defined a process that automatically identify changes, classify them and treat their impacts on elements of other partial models in order to maintain the global

while a large variety of forks are developed independently (including many closed source versions of the OS). Contiki features several network stacks, including the popular uIP

Finally, it is worth remarking that while we focussed here on the dynamics of synchronization in linear (consensus) and nonlinear processes (coupled oscillators, Kuramoto), the